Senior Data Engineer (Java/Scala, Spark, AWS) w Warszawa, Polska
EPAM Systems (Poland) sp. z o.o.
KontraktUmowa czasowa lub freelancing
Warszawa, Polska
Your responsibilities
Design, build, and maintain large-scale data pipelines and distributed processing systems using Spark
Develop and support data platforms that enable AI/ML and Generative AI applications
Architect and implement solutions within AWS cloud environments using cloud-native patterns
Build and optimize ETL/ELT workflows to support analytical and operational use cases
Implement data modeling strategies aligned with modern data lakehouse architectures
Ensure data quality, governance, and monitoring across all data assets
Deliver secure, scalable, and highly available data solutions following operational best practices
Collaborate with cross-functional teams to support AI-driven business initiatives
Write advanced SQL queries and production-grade code in Java or Scala
Our requirements
5+ years of experience in Data Engineering with exposure to Gen AI/ML-based applications
Background in building and maintaining large-scale data pipelines and distributed processing systems using Spark with Java or Scala
Familiarity with AI/ML, Generative AI, or data platforms supporting AI-driven initiatives
Expertise in AWS cloud environments and cloud-native architectures
Advanced proficiency in SQL
Skills in data modeling and modern data lakehouse architectures
Understanding of data quality, governance, monitoring, and operational best practices
Competency in building secure, scalable, and highly available data solutions
Showcase of ETL/ELT development experience
Proficiency in English at an Upper-Intermediate level (B2) or higher
Optional
Hands-on experience with Databricks or Snowflake, with the ability to work across modern cloud-based data platforms (experience with both is advantageous)
Background in Financial Services
What we offer
We gather like-minded people:
• Top tech minds driving innovation in AI, cloud and digital platform modernization
• Supportive team and agile, startup-like culture
• Hybrid by design mode and opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually
• Business-driven relocation opportunities
We provide growth opportunities:
• Career development programs
• Thought leadership, mentoring, soft skills and well-being programs
- 5+ years of experience in Python and strong software engineering skills - Solid knowledge of AWS cloud services and best practices - Experience building scalable Spark pipelines in PySpark or Scala - Practical experience with Spark Streaming for low-latency pipelines - Familiarity with Delta Lake and modern data lakehouse ...
... in data engineering. - Strong expertise in one or more cloud platforms: AWS , GCP , or Azure . - Proficiency in programming languages like Python , SQL , or Java/Scala . - Hands-on experience with big data tools such as Hadoop , Spark , or Kafka . - Experience with data warehouses like Snowflake , BigQuery , or Redshift ...
... experience as a Data Engineer working on projects involving large-scale data processing - Strong knowledge of Scala and Apache Spark - Practical experience with Java and developing backend applications or data processing solutions - Experience designing and implementing ETL/ELT processes and data pipelines - Good knowledge ...
... Are programming in languages such as Scala or Java, Python, Have strong understanding of distributed systems, data storage, and processing framework like dbt, Spark or Apache Beam, Have knowledge of GCP (especially Dataflow and Composer) or other public cloud environments like Azure or AWS, Use good practices (clean code, ...
... Our requirements - Proven experience as a Data Engineer / Spark Developer in big data or cloud ecosystems. - Strong knowledge of Apache Spark, especially in data processing and ETL pipeline development. - Hands on experience with MongoDB and ODS type data store architectures. - Practical experience in Data Lakehouse technologies ...
... strength comes from deep experience in cloud-native architectures. By joining our team, you'll have the opportunity to design and build scalable data platforms on AWS, work hands-on with modern data stack technologies, and directly shape how businesses in regulated industries process, store, and make sense of their data. This ...
... uzgodnionym w ramach realizacji zlecenia., Projektowanie i wdrożenie rozwiązań do zbierania, transformacji i przetwarzania dużych zbiorów danych, z wykorzystaniem Spark, Java, Hive i SQL., Job'y przetwarzania i mapowania danych zrealizowane z użyciem Spark/Scala, dostarczone zgodnie z wymaganiami biznesowymi., Analiza danych ...
... technical field - 5+ years experience in software development with Big Data technologies - Advanced knowledge of Python, Scala, or Java - Proficient with Spark and Databricks and/or Snowflake - Experience with cloud platforms such as Azure, Google Cloud Platform, Amazon Web Services - Demonstrated experience with big data models, ...
... data storage and processing Our requirements - Proficiency in Python and Spark with at least 3 years in data engineering roles - Strong experience with Azure Databricks and PySpark - Proven expertise in designing and implementing ETL/ELT solutions - Experience migrating big data platforms to Azure-native services - Proficiency ...
... - Proven experience as a Data Engineer or similar role - Strong knowledge of data processing technologies and database systems (SQL, NoSQL) - Experience with data pipeline and workflow management tools (e.g., Apache Airflow, ETL) - Proficiency in programming languages (Python, Java, or Scala) - Familiarity with cloud services ...