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Data Science
Data Analysis, Data Science Commons, Machine Learning
40 hrs/week
12+ months
Brazil, PortugalBrazil, Portugal We are seeking a Lead Data Scientist to join our remote team.
Data Science
Data Analysis, Data Science Commons, Machine Learning
40 hrs/week
12+ months
- Lead and mentor a team of Data Scientists towards technical excellence and deliver projects on-time and within budget
- Collaborate with cross-functional teams to identify business challenges and opportunities for data-driven solutions
- Perform data analysis and develop predictive models to generate insights and recommendations for business decisions
- Design and implement Machine Learning models and algorithms to solve complex business problems
- Propose data-driven strategies and solutions to tackle business challenges and drive innovation
- Stay up-to-date with the latest trends and advancements in Data Science and Machine Learning, and apply them to enhance our capabilities
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or equivalent experience
- A minimum of 5 years of experience in Data Science, with a focus on Machine Learning and Data Analysis
- Proven track record of leading and mentoring a team of engineers
- Experience in developing and implementing predictive models and algorithms
- Expertise in Data Science Commons, with proficiency in tools such as Python, R, SQL, etc.
- Capability to lead and mentor a team of Data Scientists towards technical excellence and deliver projects on time and within budget
- Ability to communicate complex ideas and insights effectively to both technical and non-technical stakeholders
- Fluency in spoken and written English and Portuguese, allowing for effective communication with teams and stakeholders
- Experience in developing and deploying scalable Machine Learning models in a production environment
- Familiarity with Big Data technologies such as Hadoop, Spark, etc.
- Experience in Natural Language Processing (NLP) and Deep Learning
Data Software Engineering
Python, Databricks, Amazon Web Services
40 hrs/week
12+ months
PolandPoland We are seeking a highly skilled Senior Data Engineer to join our team and work remotely with one of the biggest American athletic footwear and apparel corporations.
Data Software Engineering
Python, Databricks, Amazon Web Services
40 hrs/week
12+ months
- Design, develop and maintain data-driven applications and systems
- Develop and maintain data pipelines to facilitate efficient data processing and analysis
- Create and execute data modeling and analysis strategies
- Collaborate with cross-functional teams to analyze business requirements and design solutions that meet the needs of our clients
- Identify and troubleshoot data integration and processing issues to maintain data integrity
- Optimize and fine-tune data software solutions to ensure enhanced performance and scalability
- Develop and maintain technical documentation for data software solutions
- Minimum of 3 years of experience in data engineering
- Strong programming skills in Python
- Solid understanding of database technologies, data integration and ETL processes
- Proficiency in Amazon Web Services (AWS) and Databricks
- Strong command of data analysis and modeling techniques
- Ability to work remotely with excellent communication and collaboration skills
- Proven track record in designing and implementing scalable, high-performance data-driven applications and systems
- Fluent English language skills with an upper-intermediate level or higher
- Experience with big data technologies such as Hadoop, Spark and Kafka
- Experience with data governance and security best practices
Data Science
Data Analysis, Data Science Commons, Machine Learning
40 hrs/week
12+ months
Brazil, PortugalBrazil, Portugal We are looking for a Chief Data Scientist to lead our remote team in developing Artificial Intelligence models and data analysis solutions.
Data Science
Data Analysis, Data Science Commons, Machine Learning
40 hrs/week
12+ months
- Lead the development of Artificial Intelligence models and data analysis solutions
- Manage the data mining process, including collecting, cleansing, and exploratory analysis
- Propose solutions and strategies to tackle business challenges
- Collaborate with cross-functional teams to deliver value to our clients
- Stay current with the latest advancements in data science and Artificial Intelligence
- Mentor and develop junior team members
- Drive thought leadership in the data science and Artificial Intelligence domains
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
- Minimum of 7 years of experience in data science, with at least 2 years in a leadership role
- Proven experience in data analysis, data mining, and exploratory analysis
- Expertise in Artificial Intelligence models such as Machine Learning, Deep Learning, and Natural Language Processing
- Strong leadership and team management skills, with the ability to inspire and motivate teams
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences
- Fluency in both English and Portuguese languages
- Familiarity with Big Data technologies such as Hadoop, Spark, etc.
Business Analysis
SAP S4/HANA Extensibility, Scrum, Agile
40 hrs/week
12+ months
ColombiaColombia We're on the lookout for a Lead Business Analyst to become an integral part of our remote team.
Business Analysis
SAP S4/HANA Extensibility, Scrum, Agile
40 hrs/week
12+ months
- Reviewing, eliciting, and authoring formal specifications and facilitating business requirement communication between development and clients
- Enhancing and developing business processes within technology and business sectors
- Recommending and validating technical solutions based on their potential impact on the business and stakeholders
- Offering technical guidance to junior Technical Business Analysts
- Building and maintaining stakeholder relationships
- Applying a structured requirements process to evaluate near-term needs
- A minimum of 5 years in a Business Analyst role, specifically focusing on SAP S4/HANA
- Proven experience in leading developer teams and managing successful project outcomes
- Familiarity with Scrum and Agile methodologies
- Proficiency in Requirements and Change management
- Expert skills in elicitation, analysis, validation, and documentation of client business needs and requirements
- Capability to propose and validate technical solutions, understanding their impact on the business and stakeholders
- A history of establishing and nurturing stakeholder relationships
- Exceptional communication abilities, both written and verbal, with a high level of English fluency
- Experience in researching and analyzing existing processes with an eye for recommending implementable, cost-effective tools within a project department or division
- Experience in monitoring metrics to ensure customer satisfaction and recommending new metrics
Business Analysis
SAP S4/HANA Extensibility, Scrum, Agile
40 hrs/week
12+ months
ColombiaColombia We are seeking a Senior Business Analyst to join our remote team.
Business Analysis
SAP S4/HANA Extensibility, Scrum, Agile
40 hrs/week
12+ months
- Review, elicit, and write formal specifications and communicate business requirements between development and client to design and implement business solutions
- Develop and improve business processes within the technology and business organizations and understand client requirements, specifying and analyzing these to a sufficient or expert level of detail to ensure clarity of definition
- Recommend and validate technical solutions to meet requirements based on an understanding of how technical solutions will impact the business and stakeholders as required
- Provide technical guidance to less experienced Technical Business Analysts
- Build and maintain a relationship with stakeholders
- Monitor and use a structured requirements process to assess near-term needs
- Minimum of 3 years of experience in a Business Analyst role, with a focus on SAP S4/HANA
- Familiarity with Scrum and Agile
- Knowledge of Requirements and Change management
- Expertise in elicitation, analysis, validation, and documentation of client's business needs and requirements
- Ability to recommend and validate technical solutions to meet requirements based on an understanding of how technical solutions impact the business and stakeholders
- Proven track record of building and maintaining relationships with stakeholders
- Excellent communication skills, both written and verbal, with fluency in English at an upper-intermediate level
- Experience in researching and analyzing current processes and recommending tools for implementation within a project department or division that meets user requirements and is cost-effective
- Experience in monitoring and adhering to metrics to ensure customer satisfaction and recommending metrics
Data Integration
ETL/ELT Solutions, Azure Data Lake Storage, Databricks
40 hrs/week
12+ months
PolandPoland We are seeking a skilled Senior Data Integration Engineer to join our remote team.
Data Integration
ETL/ELT Solutions, Azure Data Lake Storage, Databricks
40 hrs/week
12+ months
- Lead the design and development of data integration solutions, including ETL/ELT processes and data pipelines
- Collaborate with stakeholders to gather and analyze data integration requirements
- Provide technical guidance and mentorship to junior team members
- Ensure data quality and consistency across integrated systems
- Optimize data integration workflows for performance and scalability
- Troubleshoot and resolve complex data integration issues
- Stay up-to-date with industry trends and emerging technologies in data integration
- Bachelor's degree in Computer Science, Information Systems, or a related field
- 3+ years of relevant production experience in data integration
- In-depth knowledge of ETL/ELT solutions and data integration best practices
- Strong proficiency in Azure Data Lake Storage, Databricks, and Azure Data Factory
- Extensive experience with MySQL, PostgreSQL, MS SQL.SQL, and Oracle
- Expert-level skills in SQL and Python for data manipulation and transformation
- Solid understanding of data modeling and database design principles
- Proven track record of successfully delivering complex data integration projects
- Strong problem-solving and analytical skills
- Excellent communication and leadership abilities
- B2+ English level
- Experience with cloud-based data integration platforms such as AWS Glue or Google Cloud Dataflow
- Familiarity with big data technologies like Hadoop and Spark
- Knowledge of data warehousing concepts and tools
- Understanding of data governance and data management practices
- Ability to architect and implement real-time data integration solutions
Data Integration
Microsoft SQL Server, SQL, SQL SSIS
40 hrs/week
12+ months
PolandPoland We are seeking a highly skilled remote Senior Data Engineer to join our team.
Data Integration
Microsoft SQL Server, SQL, SQL SSIS
40 hrs/week
12+ months
- Implement Data Integration solutions using SQL SSIS
- Participate in the design, development, and testing of database solutions
- Ensure database performance, security, and availability
- Collaborate with team members and stakeholders to implement solutions that meet business requirements
- Provide guidance and support to junior team members
- 3+ years of relevant work experience
- Hands-on experience with Data Integration tools, particularly SQL SSIS
- Bachelor's or higher degree in Computer Science or related field is preferred
- Strong SQL skills and proficiency in Microsoft SQL Server
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- B2+ English level
- Experience working with remote teams and clients
- Experience providing technical guidance and support to junior team members
- Familiarity with additional database platforms and technologies
- Knowledge of Agile methodologies and best practices
- Ability to adapt to a fast-paced and dynamic work environment
Data Software Engineering
Databricks, Microsoft Azure, PySpark
40 hrs/week
12+ months
PolandPoland Join our remote team as a Senior Data Software Engineer.
Data Software Engineering
Databricks, Microsoft Azure, PySpark
40 hrs/week
12+ months
- Design, develop and deploy data solutions for various business needs
- Collaborate with cross-functional teams to identify and address data-related challenges
- Develop and maintain data pipelines for data processing and analysis
- Ensure the quality, reliability, and scalability of data systems
- Develop data models and schemas for efficient data storage and retrieval
- Perform data analysis and provide insights to support business decisions
- Develop and maintain documentation for data systems and processes
- Perform code reviews and provide feedback to improve code quality and maintainability
- Stay up-to-date with the latest technologies and trends in data engineering and analytics
- At least 3 years of experience in Data Software engineering and development
- Expertise in one of the languages (Python, Spark, PySpark, SQL) with knowledge on how to build both within dev and enabling deployment to production
- Proficient in SQL for data manipulation and analysis
- Experience working on one or more cloud platforms (Azure, GCP, AWS). Strong preference for Azure
- Expertise in Databricks for data processing and analytics
- Experience with Azure DevOps, GitHub, (or others) and version control for code management
- Experience with developing end-to-end production solutions
- Strong problem-solving skills with the ability to debug complex issues
- Experience with data engineering and analytical development
- Excellent communication skills in spoken and written English, at an upper-intermediate level or higher
- Experience with RESTful APIs and integration with external systems
- Experience with machine learning and data science
- Experience with CI/CD tools such as Jenkins for automated deployment
- Experience with data visualization tools such as Power BI or Tableau
Data Software Engineering
Python, PySpark, SQL
40 hrs/week
12+ months
PolandPoland Join our team as a Senior Data Software Engineer, where you will be the foremost technical authority in the Data Engineering team within the Data Solutions Centre of Excellence
Data Software Engineering
Python, PySpark, SQL
40 hrs/week
12+ months
- Develop and maintain data models, pipelines, and ETL processes to ensure data quality, consistency, and accuracy
- Keep the development of the data platform, including system architecture and efficient data products and pipelines within an agile working environment
- Collaborate with cross-functional teams to identify and address complex data engineering challenges, developing robust solutions that meet business and user needs
- Contribute to the development of data governance policies and procedures, ensuring compliance with relevant regulations and standards
- Keep up-to-date with the latest data engineering technologies and trends, contributing to the continuous improvement of the data platform
- A minimum of 3 years of experience in Data Software Engineering, demonstrating expertise in developing large-scale data products and pipelines
- Proficiency in Python and PySpark, enabling you to develop efficient and scalable data processing solutions
- In-depth knowledge of Databricks, Amazon Web Services and Microsoft Azure, showcasing your expertise in cloud-based data engineering technologies
- Experience in developing and maintaining data models, pipelines, and ETL processes, demonstrating your comprehensive skill set
- Strong focus on teamwork and exceptional interpersonal skills, allowing you to collaborate effectively with cross-functional teams
- Fluent spoken and written English at an Upper-Intermediate level or higher
- Hands-on experience in developing data products and pipelines using other programming languages, such as Java or Scala
- Experience in deploying machine learning models in production environments and in implementing data security and privacy measures
Data Software Engineering
Databricks, Python, PySpark
40 hrs/week
12+ months
PolandPoland Join our remote team as a Senior Data Software Engineer.
Data Software Engineering
Databricks, Python, PySpark
40 hrs/week
12+ months
- Designing, developing, and implementing data solutions in collaboration with stakeholders
- Ensuring the quality, performance, and scalability of data systems through regular maintenance and optimization
- Identifying and resolving issues related to data quality, data processing, and data integration
- Providing support for data-related issues and incidents
- Collaborating with cross-functional teams to deliver customer-centric solutions
- Defining and implementing data management best practices and standards
- Creating and maintaining technical documentation for data systems and solutions
- Ensuring compliance with data security and privacy regulations
- Leading and mentoring less experienced team members to enhance their skills and grow their careers
- Participating in code reviews and ensuring adherence to coding standards
- Staying up-to-date with emerging data technologies and trends
- At least 3+ years of solid/hands-on experience in Data Software Engineering
- Expertise in PySpark for data processing and analysis
- Experience working with Azure Data Factory for building and managing data pipelines
- Advanced SQL knowledge for designing and managing database schema, including procedures, triggers, and views
- Proficiency in Python for data manipulation and scripting
- Experience with cloud-based data management tools such as hdinishght, Azure Data Lake, and Data API
- Knowledge of Spark, Scala, and Kafka for distributed computing and real-time data processing
- Expertise in Databricks for data engineering and analytics
- Experience with EDL changes in DB Views/Stored procedures
- Experience in data analysis and troubleshooting
- Ability to provide integration testing support
- Ability to plan and implement new requirements/data entities on EDL
- Excellent communication skills in spoken and written English, at an upper-intermediate level or higher
- Experience with Hadoop, Hive, and MapReduce is a plus
- Familiarity with AWS, GCP, or other cloud platforms is a plus