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
Senior Data Engineer (Java/Scala, Spark, AWS) Miejsce pracy: Warszawa Technologies we use Expected - Spark - Java - Scala - SQL Optional - Databricks - Snowflake About the project We are seeking a Senior Data Engineer to design, build, and maintain large-scale data pipelines and distributed processing systems that power ...
Expected, Spark, Java, Scala, SQL Optional, Databricks, Snowflake About the project, We are seeking a Senior Data Engineer to design, build, and maintain large-scale data pipelines and distributed processing systems that power AI-driven initiatives. In this role, you will leverage your expertise in AWS, Spark, and modern data architectures ...
... koncentrujesz się na rozwoju produktu Skład zespołu, backend developer, devOps, product owner Twój zakres obowiązków, Projektowanie, rozwijanie i utrzymywanie rozwiązań Data Engineering w środowisku Hadoop i Apache Spark., Tworzenie skalowalnych procesów przetwarzania dużych zbiorów danych., Analizowanie złożonych wymagań biznesowych ...
- 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 ...
Expected, Python, SQL, Spark, Airflow, AWS, Cloudera, Iceberg Optional, Kubernetes, Kafka, NiFi, Trino, Hudi, Java, Scala, Docker, Databricks About the project, As a Senior Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging ...
... 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 ...
Expected, Python, SQL, Spark, Airflow, AWS, Cloudera, Iceberg Optional, Kubernetes, Kafka, NiFi, Trino, Hudi, Java, Scala, Docker, Databricks About the project, As a Senior Data Engineer (Spark), you will join a complex data engineering project focused on building and developing scalable data pipelines and modern data processing ...