Senior AI Data Software Engineer
Tech Stack / Keywords
Firma i stanowisko
EPAM Systems is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, they empower clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.
Wymagania
- 4+ years experience in software development with Data Software Engineering technologies
- Advanced knowledge of Python
- Proficient with Spark and Databricks
- Experience with cloud platforms such as 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, and 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 with 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 tools such as 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 primary 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
- Work with top tech minds driving innovation in AI, cloud, and digital platform modernization
- Supportive team and agile, startup-like culture
- Hybrid work mode by design and opportunity to work remotely within Poland
- Chance to work abroad for up to 60 days annually
- Business-driven relocation opportunities
- Career development programs
- Thought leadership, mentoring, soft skills, and well-being programs
- Certification opportunities (Anthropic, Gemini, GCP, Azure, AWS)
- English classes
- Stable pay
- Participation in the Employee Stock Purchase Plan with a 15% discount
- Benefits package including health insurance, multisport, shopping vouchers
- Referral bonuses up to $2,000
- Offices featuring 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 dostępną na stronie: https://www.epam.com/applicant-privacy-notice
EPAM Systems
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