Databricks Developer Jobs

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senior data engineer python (databricks)

Data Software Engineering

Amazon Web Services, Databricks, Python

40 hrs/week

12+ months

Poland

We are seeking a remote Senior Data Engineer with expertise in Python and Databricks to join our team.

The ideal candidate should be familiar with AWS and ETL/ELT solutions. The role requires excellent communication skills to collaborate efficiently with cross-functional teams.

responsibilities

Design and develop ETL processes for data integration
Deploy ETL models on scalable platforms
Automate and scale the current labeling process for increased efficiency
Collaborate with the client Scrum Master to provide updates and gather requirements
Participate in Scrum ceremonies to ensure timely deliverables

requirements

Minimum of 3 years of experience in data software engineering
Proficient in Python and Databricks
Strong knowledge of AWS and ETL/ELT solutions
Familiarity with SQL and GitLab
Excellent communication skills and ability to work in a team environment
Good written and verbal communication skills in English (B2+)

senior data engineer databricks

Data Software Engineering

Python, Apache Spark, Amazon Web Services

40 hrs/week

12+ months

Poland

We are seeking a highly experienced remote Senior Data Engineer with expertise in Databricks to design and develop custom software solutions for our project.

The ideal candidate must be able to deliver robust, scalable and reusable solutions, possess a mastery in engineering. The Senior Data Engineer must also be proactive, a team player and possess excellent communication skills.

responsibilities

Design and develop custom software solutions to meet the end-customer needs
Deliver robust, scalable and reusable solutions in a timely manner
Work collaboratively with the team to ensure successful project delivery
Actively participate in code reviews and contribute to the development of software best practices
Be curious, courageous and committed to continuous learning and improvement

requirements

At least 3+ years of experience as a Senior Data Engineer with expertise in Databricks
Mastery in Engineering and thorough understanding of software design principles
Expertise in Python, Apache Spark, Amazon Web Services
Working knowledge of DevOps (Kubernetes, Docker, advanced AWS, CICD, etc.)
Upper-Intermediate level of English (B2+)

nice to have

Strong working knowledge of Scala and ELK stack

lead big data engineer with databricks

Data Software Engineering

Amazon Web Services, Apache Airflow, Apache Spark

40 hrs/week

12+ months

Colombia

We are seeking a remote Lead Big Data Engineer with expertise in Databricks to help us build and maintain optimal on-prem and cloud-based data pipeline architectures capable of ingesting structured and unstructured data using both batch & streaming methods.

The ideal candidate should have a strong background in AWS, Python, and Data Warehousing. The successful candidate must be able to lead a team of data engineers, organize teamwork, and solve technical and non-technical challenges. The candidate should have excellent communication and collaboration skills with the ability to work efficiently with cross-functional teams.

responsibilities

Develop and maintain optimal on-prem and cloud-based data pipeline architectures capable of ingesting structured and unstructured data using both batch & streaming methods
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Lead and mentor a team of data engineers, organize teamwork, and solve technical and non-technical challenges
Participate in the design key software components of the data platform
Work with stakeholders, including the business analytics teams and IS architecture teams, to assist with data-related technical issues and support their data infrastructure needs

requirements

Bachelor's degree in Computer Science, Information Systems, or another applicable field is preferred
5+ years of experience in a Data Engineer role
1+ years of relevant leadership experience
Experience in building Data Management solutions on AWS preferred
Proven experience with Databricks
Advanced working knowledge of cloud-based data pipeline development
Strong proficiency in Python
Knowledge of Apache Airflow and Apache Spark
B2+ English level

nice to have

Knowledge of Data Warehousing and SQL
Working knowledge of message queuing, stream processing, and Change Data Capture mechanisms
Excellent problem-solving skills and attention to detail

senior data developer python (databricks)

Data Software Engineering

Python, Apache Spark, Amazon Web Services

40 hrs/week

12+ months

Poland

We are seeking an experienced remote Senior Data Developer Python (Databricks) to join our team.

The ideal will be responsible for designing and implementing end-to-end data solutions, ensuring data quality and providing technical guidance to junior developers. To excel in this role, you should have strong expertise in Python, Databricks, and AWS.

responsibilities

Design, develop and maintain data pipelines using Databricks
Ensure data accuracy and consistency while developing high-quality data solutions
Provide technical expertise and guidance to junior developers
Collaborate with the team to define data architecture and best practices
Work closely with other departments in the company to discover new data sources and optimize existing ones

requirements

Minimum of 5 years of professional experience in Data Software Engineering
Expertise in Python, Databricks, and AWS
Advanced skills in Spark and ELK
Strong knowledge of data modelling and database design
Mastery in Engineering
The ability to work collaboratively as a team member and proactive in approach
English B2+ level

nice to have

Experience with DevOps (Kubernetes, Docker, CICD, etc.)

senior data engineer (python, databricks)

Data Software Engineering

Amazon Web Services, Databricks, Python

40 hrs/week

12+ months

Poland

We are seeking a talented remote Senior Data Engineer with strong experience in Data Software Engineering.

The ideal candidate will have Big Data technologies, primarily Spark, work with cross-functional teams to design, develop, and deploy high-performance data pipelines.

responsibilities

Design, develop and deploy high-performance data pipelines
Work with cross-functional teams to deliver complex projects
Develop, maintain and optimize ETL processes
Troubleshoot and optimize data pipeline processes
Create and maintain data models and databases

requirements

3+ years of software engineering experience
Good knowledge of Big Data technologies, primarily Spark
Experience with DSE Python, AWS, and Databricks
Familiarity with Python
Upper-Intermediate English level (B2+)

nice to have

Knowledge of Apache Spark and Apache Hive

senior data software engineering with databricks

Data Software Engineering

Amazon Web Services, Apache Spark, Databricks

40 hrs/week

12+ months

Georgia

We are looking for a remove Data Software Engineer with a strong background in Scala, AWS, and Databricks to join our team.

As a Data Software Engineer, you will be responsible for developing and implementing data processing solutions using Databricks and other big data platforms. You will collaborate with cross-functional teams to design, implement and deliver highly scalable and resilient systems.

responsibilities

Design and implement data processing solutions using Databricks
Collaborate with cross-functional teams to deliver highly scalable and resilient systems
Optimize data processing workflows for enterprise-level data processing systems
Implement data integration strategies between systems and data stores
Ensure data security, reliability

requirements

Master’s Degree in Computer Science, Information Systems, or equivalent
3 years of experience in Data Software Engineering with Databricks
Strong experience in Data Warehousing design and Advanced SQL coding
Strong experience in building solutions using Databricks, Scala, and AWS
Experience with stream processing engines like Kafka, Spark
Upper-Intermediate English level (B2+)

nice to have

Experience with Google Cloud Platform, Apache Airflow, Snowflake
Familiarity with Google Cloud BigQuery

senior big data developer with databricks

Data Software Engineering

Amazon Web Services, Apache Spark, Databricks

40 hrs/week

12+ months

Georgia

We are seeking a remote Senior Big Data Developer with Databricks expertise to join our team.

The ideal candidate will have a Bachelor's or Master's degree in Computer Science or Information Systems, along with experience in the software development life cycle and agile methodologies.

responsibilities

Collaborate with cross-functional teams to design, develop, and implement big data solutions
Develop and maintain data pipelines using Databricks, Scala, and AWS services
Optimize and tune performance of data solutions
Troubleshoot and resolve data processing issues
Demonstrate a thorough understanding of information systems, business processes, and key drivers while choosing the proper methodologies and policies to support broad business goals

requirements

3+ years of relevant work experience
Bachelor's/Master’s Degree in Computer Science, Information Systems, or equivalent
Proficient with software development lifecycle (SDLC) methodologies like Agile, Test-driven development
Experience with SQL and NoSQL databases, advanced SQL is required
Experience with Big Data platforms such as Apache Hadoop and Apache Spark, Databricks
Experience in developing and implementing solutions utilizing Data Lake
Expertise in building event-driven scalable and resilient systems
B2+ English level

nice to have

Experience in the financial services domain is a plus
Knowledge of relational database design and data warehousing
Understanding of Amazon Web Services

senior big data engineer with databricks

Data Software Engineering

Amazon Web Services, Apache Airflow, Apache Spark

40 hrs/week

12+ months

Poland

We are seeking a remote Senior Big Data Engineer with expertise in Databricks to join our innovative team.

The ideal candidate should have extensive experience in Spark/Scala and AWS, as well as a solid foundation in Python. In this position, you will be responsible for designing, developing, and deploying large-scale data processing systems with Databricks. You will also be responsible for optimizing data pipelines, monitoring performance, and resolving any related issues. The successful candidate should be able to collaborate closely with other teams, evaluate technical trade-offs, and ensure high-quality solutions are delivered.

responsibilities

Design, develop and maintain high-performance data processing systems using Databricks
Optimize data pipelines and monitor their performance regularly
Identify and troubleshoot issues that occur during data processing
Collaborate with other teams to integrate data solutions into existing platforms
Evaluate technical trade-offs and provide recommendations to improve the platform's performance and scalability

requirements

Minimum 3 years of relevant experience in Data Software engineering
Expertise in DSE Python, AWS, and Databricks
Solid foundation in Spark/Scala and Elastic
Excellent communication skills and the ability to collaborate with cross-functional teams
Fluent in English with an Upper-Intermediate level (B2+)

nice to have

Experience in Apache Airflow and Python

senior data engineer with python (databricks, aws)

Data Software Engineering

Amazon Web Services, Databricks, Python

40 hrs/week

12+ months

Poland

We are looking for an experienced remote Senior Data Engineer with Python, Databricks and AWS skills to join our team.

The right candidate enjoys working collaboratively to solve complex data engineering challenges that support our business needs.

responsibilities

Design, implement and maintain large-scale data pipelines using Python, Databricks
Work with cross-functional teams to integrate solutions that meet our data processing and analysis needs
Ensure performance, reliability, security and maintainability of data pipelines
Develop monitoring and alerting mechanisms to proactively identify and resolve issues
Continuously look for opportunities to improve data engineering processes and practices

requirements

Minimum of 3+ years with expertise in designing and maintaining large-scale data pipelines
Strong proficiency in Python and Databricks, (AWS) in production environments
Excellent understanding of Big Data technologies, primarily Spark
Strong understanding of data architecture and modelling concepts
Highly knowledgeable about data warehousing principles and practices
Upper-Intermediate level of English (B2+)

nice to have

Experience with Apache Hive

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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