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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on building big data solutions across domains including Financial, Health Care and Insurance. Technologies used include Spark, Databricks, Snowflake, languages Python, Scala, Java, and cloud platforms AWS, GCP, Azure. Responsibilities cover implementing data ingestion from RDBMS, REST APIs, files, streams and SAP, processing and transforming data, optimizing data retrieval, building dashboards, performing validation, ensuring data source security, and troubleshooting and upgrading big data systems.
from: 10 November 2026
to: 10 December 2026
salary not specifiedB2B contract (full-time)
salary not specifiedcontract of employment
Offer parameters
level:senior
working mode:remote
Warszawa, Wola
Requirements
Expected technologies
Python
Scala
Java
Spark
Databricks
Snowflake
Microsoft Azure
Google Cloud Platform
AWS
JSON
Parquet
Avro
SQL
Cassandra
MongoDB
Optional technologies
Hadoop
Spark
Kafka
Oozie
Airflow
HDFS
YARN
KafkaSolr
OpenSearch
Lucene
Our requirements
- Bachelor’s degree in Computer Science, Mathematics or related 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, databases, and tools
- Strong understanding of different data file formats like JSON, Parquet, Avro
- Hands-on experience with SQL and NoSQL databases, including Cassandra and MongoDB
- Proficiency in data warehousing solutions, ETL processes
- Proven ability to work within a fast-paced, team-oriented environment
- Detail-oriented with excellent analytical and problem-solving skills
- Knowledge of software development methodologies and best practices
- Exceptional oral and written communication skills in English (B2+)
Optional
- Experience with Hadoop, Spark, Kafka, Oozie, Airflow, HDFS, YARN
- Experience with message queues, especially Kafka
- Production experience in search technologies such as Solr, OpenSearch, or Lucene
Your responsibilities
- Implement data ingestion from diverse sources utilizing technologies including RDBMS, REST HTTP API, flat files, Streams, Time series data, SAP
- Research and utilize Big Data technologies for effective data ingestion
- Process and transform data using tools such as Spark and various Cloud Services
- Understand and execute project-specific business logic through programming languages supported by the primary data platform
- Optimize data retrieval, develop dashboards, and perform data validation
- Collaborate with diverse teams including data scientists, analysts, and IT professionals
- Provide thought leadership on Big Data best practices and technology trends
- Maintain and ensure integrity and security of big data sources and platforms
- Perform troubleshooting, debugging, and upgrading of big data systems and applications
About the project
We are looking for a Senior Data Software Engineer to join our growing Data Practice and make our team even stronger.
Our projects and technologies are very diverse and cover all technologies currently on the market and represented by open-source communities.
We are providing our service to Clients in different domains: Financial, Health Care, Insurance and many others, so you will have a chance to develop yourself in any direction you want.
This is how we organize our work
This is how we work
at the client's siteagilescrum
This is how we work on a project
- Continuous Deployment
- Continuous Integration
What we offer
We gather like-minded people:
We provide growth opportunities:
We cover it all:
Please, note:
Development opportunities we offer
- conferences in Poland
- development budget
- external training
- industry-specific e-learning platforms
- intracompany training
- mentoring
- soft skills training
- space for experimenting
- substantive support from technological leaders
- support of IT events
- technical knowledge exchange within the company
Recruitment stages
- 1.Recruiter Interview (30 min)
- 2.Technical Interview (90 min)
- 3.Manager Interview (60 min)
- 4.Meeting with the Project Team or Client (60 min, optional)
- 5.Welcome Aboard!
EPAM Systems (Poland) sp. z o.o.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential
Senior Data Software Engineer
I apply to:
EPAM Systems (Poland) sp. z o.o.
Warszawa, Wola
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