Senior AI Data Software Engineer
Tech Stack / Keywords
Firma i stanowisko
EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups. The company has over thirty years of expertise in custom software, product and platform engineering, empowering clients to become AI-Native enterprises across domains such as Financial, Health Care, and Insurance.
Wymagania
- 4+ years of experience in software development with Data Software Engineering technologies
- Advanced knowledge of Python
- Proficiency with Spark and Databricks
- Experience with cloud platforms including Azure, Amazon Web Services, and Google Cloud Platform
- Experience using AI development tools (e.g., Claude Code, Github Copilot, Cursor)
- Strong understanding of data file formats like JSON, Parquet, Avro
- Hands-on experience with SQL and NoSQL databases including Cassandra and MongoDB
- Proficiency in data warehousing solutions and ETL processes
- Bachelor’s degree in Computer Science, Mathematics, or related technical field
- 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+)
Nice to have:
- Experience with message queues, specifically Kafka, and large data transfer applications/middleware
- Production experience in search technologies such as Solr, OpenSearch, or Lucene
- Knowledge of Scala or Java
Obowiązki
- Implement data ingestion from diverse sources including RDBMS, REST HTTP API, flat files, Streams, Time series data, and SAP
- Research and utilize Data Software Engineering technologies for effective data ingestion
- Process and transform data using Spark, Databricks, and various Cloud Services
- Participate in next waves of AI adoption and implement agentic development environments
- Understand and execute project-specific business logic through programming languages supported by the data platform
- Optimize data retrieval, develop dashboards, and perform data validation
- Collaborate with data scientists, analysts, and IT professionals
- Provide thought leadership on Data Software Engineering best practices and technology trends
- Maintain and ensure integrity and security of data sources and platforms
- Perform troubleshooting, debugging, and upgrading of data systems and applications
Benefity
- Opportunity to work remotely within Poland with a hybrid-by-design mode
- Chance to work abroad up to 60 days annually
- Business-driven relocation opportunities
- Career development programs including certification (Anthropic, Gemini, GCP, Azure, AWS)
- Thought leadership, mentoring, soft skills and well-being programs
- English language classes
- Stable pay
- Participation in Employee Stock Purchase Plan with a 15% discount
- Benefits package (health insurance, multisport, shopping vouchers)
- Referral bonuses up to $2,000
- Offices with entertainment and relaxation zones, table tennis and football
- Free snacks, coffee, and more
- Corporate, social and well-being events
Inne informacje
Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez EPAM Systems (Poland) sp. z o.o. z siedzibą w: Fabryczna 1A, 31-553 Kraków (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu zgodnie Polityką Prywatności.
EPAM Systems
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