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senior data software engineer

Data Software Engineering

Apache Spark, Microsoft Azure, Python

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer with ML/Data Science experience.

Join our remote team as a Senior Data Software Engineer with ML/Data Science experience within a global leader in providing cutting-edge technology solutions. We are looking for a hands-on and experienced data software engineer who has a deep understanding of Apache Spark, Microsoft Azure, and Python. The successful candidate will be responsible for developing and implementing forecasting models, as well as designing and maintaining data pipelines. The role requires a strong understanding of data analytics and machine learning principles, and the ability to work collaboratively with cross-functional teams.

responsibilities

Designing and implementing forecasting models using machine learning algorithms
Developing and maintaining data pipelines for efficient data processing and analysis
Collaborating with cross-functional teams to identify business requirements and translate them into technical solutions
Creating and maintaining technical documentation for all data engineering projects
Working with data scientists to ensure that models are production-ready
Ensuring that all data engineering solutions are of high quality, reliable, and scalable
Troubleshooting and resolving data-related issues in a timely and efficient manner
Maintaining up-to-date knowledge of emerging data engineering technologies and trends
Participating in code reviews to ensure code quality and adherence to standards

requirements

At least 3+ years of experience in Data Software Engineering with a focus on ML/Data Science
Expertise in Apache Spark, Microsoft Azure, and Python
Experience in forecasting models development and implementation
Deep understanding of data analytics and machine learning principles
Good knowledge of Git for version control
Familiarity with Databricks and MLOps for efficient model deployment and management
Experience in developing and maintaining data pipelines
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Knowledge of Panda for data manipulation and analysis
Experience with SQL and relational tables
Understanding of statistical models and their practical applications

senior data software engineer

Data Software Engineering

Apache Spark, Microsoft Azure, Python

40 hrs/week

12+ months

Poland

We are seeking a remote Senior Data Software Engineer to join our team in building a data integration solution.

We are seeking a Senior Data Software Engineer to join our team in building a data integration solution. The Senior Data Software Engineer will take responsibility for the development and execution of the data engineering strategy, working closely with data scientists and other stakeholders to ensure that data is transformed into valuable insights. The ideal candidate will have a strong background in data engineering, machine learning, and software development.

responsibilities

Collaborate with data scientists to build and deploy machine learning models in production
Design and develop data pipelines, data processing systems, and APIs for data integration and analysis
Optimize data pipelines for performance and scalability
Ensure data quality, accuracy, and consistency through data validation and testing
Develop and implement MLOps processes to monitor and maintain machine learning models
Work with stakeholders to understand data requirements and provide solutions to meet their needs
Design and implement data security and privacy measures to protect sensitive data
Stay up-to-date with emerging trends and technologies in data engineering and machine learning
Provide technical guidance and mentorship to junior team members

requirements

Minimum 3+ years of experience in data engineering or software development roles
Proficiency in Apache Spark, Microsoft Azure, and Databricks for data processing and management
Expertise in Python programming language and associated data science libraries such as Pandas and NumPy
Experience in building forecasting models, statistical models, and machine learning models
Strong knowledge of MLOps and deploying machine learning models in production
Experience with Git for version control and team collaboration
Good understanding of Azure concepts such as clouds, regions, and compute
Ability to work in a fast-paced environment and deliver results under tight deadlines
Excellent English communication skills, both written and verbal, for effective global collaboration (B2+)

nice to have

Experience with SQL and relational databases for data management
Familiarity with cloud-based data warehousing solutions such as Azure Data Lake Storage (ADLS)
Knowledge of other machine learning tools and platforms such as TensorFlow and PyTorch
Experience with data visualization tools such as Tableau and Power BI

senior data software engineer

Data Software Engineering

Apache Spark, Microsoft Azure, Python

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer within a globally recognized company that specializes in delivering innovative technology solutions. We are currently seeking a hands-on technical expert to collaborate closely with development peers, product leadership, and other technical staff to create innovative data integration solutions. The successful candidate will have the opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment.

responsibilities

Designing and implementing data integration solutions that meet business requirements and are scalable, efficient, and reliable
Collaborating with data scientists to transform their models into production-ready solutions
Developing and implementing data integration processes and workflows using Apache Spark and Databricks
Working closely with cross-functional teams to identify and resolve data-related issues and ensure data quality
Implementing MLOps processes to ensure that machine learning models are deployed and maintained in production environments
Designing and implementing data architecture and storage solutions in Microsoft Azure
Designing and implementing data migration solutions to migrate data from on-premise systems to Microsoft Azure
Performing code reviews, ensuring code quality and adherence to standards
Mentoring junior team members, helping them enhance their skills and grow their careers
Actively participating in architectural and technical discussions

requirements

At least 3 years of experience in software engineering with a focus on data integration solutions
Experience with Apache Spark for processing large datasets, and Databricks for data integration and machine learning workflows
Expertise in Microsoft Azure for cloud-based infrastructure and application management
Deep understanding of Python programming language and knowledge of forecasting models and statistical models
Experience with MLOps for taking data science models and making them production ready
Familiarity with Git for version control
Excellent knowledge of SQL and relational tables
Ability to design and develop scalable and efficient data integration pipelines using Python, Spark, and other relevant technologies
Experience with developing machine learning models and utilizing ML tools and libraries
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with Panda library for data manipulation and analysis is a plus
Knowledge of cloud computing concepts such as regions and ADLS
Experience with other Microsoft Azure services such as Azure Data Factory and Azure Stream Analytics

senior data software engineer

Data Software Engineering

Python, Amazon Web Services, Databricks

40 hrs/week

12+ months

Poland

Are you an experienced Data Software Engineer looking for a new challenge? Join our team as a Senior Data Software Engineer and play a pivotal role in supporting Data Science teams, building efficient data solutions, and contributing to cutting-edge analytics projects.

Proficiency in Python and AWS is key to success in this role.

responsibilities

Collaborate closely with Data Science teams, providing essential support and mentorship as they work on analytical projects
Take charge of building and maintaining tables, responding to incoming support tickets, and offering guidance through minimal ticket interactions
Utilize your expertise to construct datamarts and separate data models that cater to specific analytics needs
Engage in sprint-based development, ensuring timely delivery of data solutions aligned with Data Scientists' requirements
Handle ad-hoc data requests and provide on-call support as necessary
Contribute to the development of data ingestion pipelines, enhancing the efficiency of data processing workflows
Publish comprehensive documentation to aid users in effectively utilizing the data solutions you provide
Collaborate effectively within the team and demonstrate exceptional communication and documentation skills
Embrace constructive feedback and exhibit a proactive attitude towards continuous learning and adapting to new technologies

requirements

A minimum of 3 years of relevant experience in Data Software Engineering, showcasing a strong track record of successful project delivery
Proficiency in Python, enabling you to develop robust and efficient data solutions
In-depth knowledge of Amazon Web Services, utilizing cloud resources to optimize data processing and storage
Experience with Apache Airflow, contributing to streamlined workflow orchestration
Familiarity with Apache Spark, enhancing your ability to work with large-scale data processing
Solid understanding of ETL processes, ensuring efficient data movement and transformation
Proficiency in CI/CD practices, facilitating smooth and automated software delivery
Strong command of SQL, enabling you to manipulate and query complex datasets
Experience working with REST APIs, facilitating seamless data integration with other systems
Fluent English communication skills at a B2+ level, ensuring effective collaboration within an international team

nice to have

Familiarity with DataBricks and Spark, further enhancing your ability to work with big data
Experience with Redshift, contributing to optimized data warehousing solutions

lead aws data engineer

Amazon Web Services

Terraform, Python

40 hrs/week

12+ months

Colombia

We are looking for a remote Lead AWS Data Engineer to join our team, working on a cutting-edge data project for one of our delivery teams.

As a key contributor to the project, you will be responsible for the design, architecture, and end-to-end execution of big data projects. Your expertise in Amazon Web Services and Python will be essential to the successful development. Your strong communication skills, coupled with your ability to write complex queries to address business requirements, will be crucial in presenting data insights to stakeholders.

responsibilities

Design and architecture of data products, ensuring alignment with business objectives and target market needs
Collaborate with cross-functional team members to achieve project goals, including developers, business analysts, and stakeholders
Lead and manage the team of developers
Execute end-to-end big data projects with a strong focus on delivering high-quality results
Develop ETL for AWS Glue jobs and AWS Lambda functions
Investigate and implement data streaming solutions such as AWS Kinesis, Apache Flink, and Snowflake
Write complex queries to address business requirements and present data insights to stakeholders
Implement solutions in accordance with IaC principles using tools such as Atlassian Bitbucket, AWS CodeBuild, and Terraform

requirements

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
5+ years of experience in data engineering, preferably in an AWS environment
1+ year of relevant leadership experience
In-depth understanding of the data domain, including Apache Spark, Python (PySpark), and SQL
Strong experience with AWS CLI, S3, Glue, Lambda, Athena, Step Functions, RDS
Proficiency in microservices, OpenAPI, API Gateway, RDS, and unit tests
Ability to work within an agile team environment, with a strong focus on delivering high-quality results
Excellent communication skills to effectively present data insights
B2+ English level proficiency

nice to have

Experience with IoT
CI/CD experience: Atlassian Bitbucket, AWS CodeBuild, Terraform
Data streaming knowledge: AWS Kinesis / Apache Flink / Snowflake
Experience in Spark jobs performance optimization

senior data software engineer

Data Software Engineering

Amazon Web Services, Apache Airflow, Apache Spark

40 hrs/week

12+ months

India

We are in search of an exceptionally talented Senior Data Software Engineer to join our remote team and aid our client's Data Science squads in constructing datamarts and fulfilling ad-hoc requests as required.

As a Senior Data Software Engineer, your role involves collaborating with a group of skilled professionals to create and sustain data pipelines, ETL processes, and REST APIs. Your responsibilities extend to ensuring the scalability, effectiveness, and dependability of our data solutions. Furthermore, you'll be tasked with providing on-call support to guarantee the seamless functioning of these solutions.

responsibilities

Collaborate with Data Science teams to construct datamarts and fulfill ad-hoc requests as necessary
Develop and manage data pipelines, ETL processes, and REST APIs to facilitate efficient data processing and delivery
Verify the scalability, efficiency, and reliability of our data solutions
Provide on-call support to uphold the smooth operation of our data solutions
Work alongside cross-functional teams to deliver top-notch data solutions in accordance with project objectives and timelines
Regularly assess industry trends and optimal practices, refining and implementing cutting-edge data engineering strategies
Offer guidance and mentorship to junior team members, nurturing a culture of continuous learning and growth within the team
Engage directly with clients, comprehending their requirements, and deliver well-suited, efficient solutions
Collaborate with stakeholders, showcasing outstanding communication and leadership skills

requirements

A minimum of 3 years of hands-on experience in Data Software Engineering, contributing to large-scale data projects and intricate data infrastructures
Demonstrated expertise in constructing and sustaining data pipelines, ETL processes, and REST APIs
Proficiency in Amazon Web Services, specifically focusing on data-related services like Redshift, S3, and Glue
Substantial familiarity with Apache Airflow and Apache Spark, utilizing them for data processing and pipeline automation
Adeptness in Python and SQL for the purpose of data processing
Experience with Databricks and PySpark for efficient pipeline automation
Familiarity with CI/CD tools to ensure the streamlined delivery of data solutions
Robust analytical skills, enabling effective troubleshooting and decision-making in intricate data environments
Ability to convey technical concepts clearly to a non-technical audience
Advanced English language proficiency (Upper-Intermediate level), enabling effective written and verbal collaboration in team meetings and discussions with stakeholders

nice to have

Experience with Redshift for data warehousing and management

senior data software engineer

Data Software Engineering

Big Data, Python, Amazon Web Services

40 hrs/week

12+ months

Poland

We are looking for a Senior Data Software Engineer to join our team, working with one of the largest pharmaceutical companies in the world.

We are looking for a Senior Data Software Engineer to join our remote team, working with one of the largest pharmaceutical companies in the world. Consistently ranked in the global top five, this company is committed to improving human health through innovation and research. As a Senior Data Software Engineer, you will be responsible for implementing data pipelines using Big Data technologies, ensuring that code is delivered on time and to a high standard of quality.

responsibilities

Implement data pipelines using Big Data technologies, ensuring that code is delivered on time and to a high standard of quality
Design and implement scalable and efficient data processing solutions
Contribute to the development and maintenance of data engineering best practices and standards
Collaborate with other engineers and stakeholders as required, contributing to the enhancement of user experiences and the improvement of data-driven decision-making processes
Review and ensure the quality control of data engineering deliverables to meet the highest standards
Provide assistance and support to other engineers during project discovery and ideation phases, contributing to innovative data solutions

requirements

Relevant experience is 3+ years in Data Software Engineering, with a focus on Big Data
Strong understanding of Big Data technologies, including Hadoop, Spark, and Hive
Proficiency in Python programming language, enabling you to write high-quality and efficient code
Experience working with Amazon Web Services and Databricks, allowing you to work with cloud-based Big Data solutions
Strong focus on teamwork and exceptional interpersonal skills, allowing you to collaborate effectively with cross-functional teams
Excellent communication skills in English, with a B2 level or higher, enabling you to effectively convey feedback and insights to cross-functional teams

nice to have

Experience in Machine Learning or Data Science, showcasing your broader perspective on data and its applications
Knowledge of SQL and NoSQL databases, enabling you to work with a variety of data storage solutions

lead data software engineer

Data Software Engineering

Amazon Web Services, Apache Airflow, Apache Spark

40 hrs/week

12+ months

India

We are in search of a skilled Lead Data Software Engineer for a remote position, ready to contribute to our team's success and bolster our Data Science endeavors.

As the Lead Data Software Engineer, you'll be instrumental in crafting and sustaining datamarts, ensuring the delivery of efficient and scalable data solutions that meet the unique needs of our clients. Your primary focus will revolve around constructing and maintaining data pipelines, offering on-call support, and fostering collaboration with Data Science teams to deliver top-tier solutions. Additionally, you'll be tasked with steering a group of proficient professionals, providing mentorship and guidance to empower them to produce cutting-edge solutions for the industry.

responsibilities

Guide and nurture the Data Software Engineering team, cultivating a culture of continual learning and growth within the unit
Collaborate with interdisciplinary teams to furnish top-notch data solutions aligning with project objectives and timelines
Forge and uphold robust Data Software Engineering processes and practices emphasizing automation, innovation, and efficiency
Ensure the realization and upkeep of streamlined and scalable data solutions utilizing AWS services
Supervise the fine-tuning of data processing and workflow management through Apache Airflow and Apache Spark
Consistently assess industry trends and best practices to enhance and implement the most potent Data Software Engineering strategies
Provide on-call assistance for data pipelines and datamarts
Direct the team in crafting and deploying REST APIs for seamless data integration and communication
Engage directly with clients to comprehend their requirements and deliver tailored, effective solutions
Steer the organization and structure of the team, guaranteeing the prompt and efficient delivery of projects
Collaborate with stakeholders, showcasing excellent communication and leadership skills

requirements

A minimum of 5 years of experience as a Data Software Engineer, engaged in substantial projects and intricate data infrastructures
At least 1 year of confirmed leadership experience, adeptly managing and motivating a team of Data Software Engineers
Proficiency in Amazon Web Services, encompassing the design and implementation of scalable and effective data solutions
Substantial expertise in Apache Airflow and Apache Spark, ensuring streamlined data processing and workflow management
Advanced familiarity with at least one CI/CD tool, preferably Jenkins, for the efficient delivery of data pipelines
Proficiency in Python and SQL, facilitating the creation and upkeep of data pipelines and ETL processes
Experience with Databricks and PySpark for data processing and analysis
Acquaintance with REST APIs for seamless data integration and communication
Robust analytical skills, empowering adept problem-solving and decision-making in intricate environments
Effective client-facing skills, facilitating clear communication and collaboration to attain project objectives
Exceptional organizational and structuring abilities, championing the efficient delivery of projects
Upper-intermediate proficiency in the English language, enabling clear collaboration, presentation, and discussion with the team and stakeholders

nice to have

Background with Redshift for data warehousing and analysis

senior aws data engineer

Amazon Web Services

Terraform, Python

40 hrs/week

12+ months

Colombia

We are seeking a remote Senior AWS Data Engineer to join our team, working on a cutting-edge data project for one of our delivery teams.

You will be responsible for the design, architecture, and end-to-end execution of big data projects. Your expertise in Amazon Web Services and Python will be essential to the successful development of ETL for AWS Glue jobs, AWS Lambda functions, and microservices. Your strong communication skills, coupled with your ability to write complex queries to address business requirements, will be crucial in presenting data insights to stakeholders.

responsibilities

Design and architecture of data products, ensuring alignment with business objectives and target market needs
Develop ETL for AWS Glue jobs and AWS Lambda functions
Execute end-to-end big data projects with a strong focus on delivering high-quality results
Collaborate with cross-functional team members to achieve project goals, including developers, business analysts, and stakeholders
Write complex queries to address business requirements and present data insights to stakeholders
Continuously optimize Spark jobs performance to ensure maximum efficiency
Investigate and implement data streaming solutions such as AWS Kinesis, Apache Flink, and Snowflake
Implement solutions in accordance with IaC principles using tools such as Atlassian Bitbucket, AWS CodeBuild, and Terraform

requirements

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
3+ years of experience in data engineering, preferably in an AWS environment
In-depth understanding of the data domain, including Apache Spark, Python (PySpark), and SQL
Extensive experience with AWS CLI, S3, Glue, Lambda, Athena, Step Functions, RDS
Proficiency in microservices, OpenAPI, API Gateway, RDS, and unit tests
Ability to work within an agile team environment, with a strong focus on delivering high-quality results
B2+ English level proficiency

nice to have

Experience in Spark jobs performance optimization
Data streaming knowledge: AWS Kinesis / Apache Flink / Snowflake
CI/CD experience: Atlassian Bitbucket, AWS CodeBuild, Terraform
Experience with IoT

senior data engineer

Data Software Engineering

Python, Amazon Web Services, Databricks

40 hrs/week

12+ months

Poland

We are searching for a skilled Senior Data Engineer to join our team.

If you are proficient in Python and AWS, and you have experience with migrating GCP BigQuery and DataFlow pipelines into Databricks hosted on AWS, we invite you to apply for this exciting opportunity.

responsibilities

Collaborate with the team on the migration of GCP BigQuery and DataFlow pipelines to Databricks hosted on AWS, ensuring a seamless transition
Design, develop, and optimize data pipelines using Python, Spark, and Databricks to meet business requirements and enhance data processing efficiency
Work closely with cross-functional teams to understand data requirements and contribute to the architecture and implementation of data solutions
Perform data modeling and transformation tasks to prepare data for analysis and reporting
Collaborate on code reviews, ensuring the quality and reliability of data pipelines
Troubleshoot and resolve issues related to data pipelines, ensuring smooth and consistent data flow

requirements

A minimum of 3 years of relevant experience as a Data Software Engineer, demonstrating your proficiency in developing and optimizing data solutions
Strong familiarity with AWS, leveraging its resources for hosting and managing data solutions
Proficiency in Python, utilizing its capabilities to build robust and efficient data pipelines
Experience with Apache Spark, enabling you to work with large-scale data processing and analysis
Expertise in Databricks, particularly in the context of migrating pipelines and working on AWS-hosted platforms
Solid command of SQL, allowing you to perform data transformations and analysis effectively
Fluent English communication skills at a B2+ level, facilitating effective collaboration with a diverse team

nice to have

Familiarity with GCP, particularly experience with BigQuery and DataFlow
Knowledge of GCP BigQuery and DataFlow, aiding in the migration process and facilitating collaboration across platforms

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