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 startups. With over thirty years of expertise in custom software, product, and platform engineering, they empower clients to become AI-Native enterprises across domains such as Financial, Health Care, and Insurance.
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, Google Cloud Platform
- Experience using AI development tools like 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 field
- Detail-oriented with 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 AI adoption initiatives implementing agentic development environments
- Execute project-specific business logic using 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 data source and platform integrity and security
- Troubleshoot, debug, and upgrade data systems and applications
Benefity
- Top tech minds driving innovation in AI, cloud, and digital platform modernization
- Supportive team and agile, startup-like culture
- Hybrid work mode with opportunity to work remotely within Poland
- Chance to work abroad up to 60 days annually
- Business-driven relocation opportunities
- Career development programs
- Thought leadership, mentoring, soft skills and well-being programs
- Certifications (Anthropic, Gemini, GCP, Azure, AWS)
- English classes
- Stable pay
- Participation in Employee Stock Purchase Plan with 15% discount
- Benefits package including health insurance, multisport, shopping vouchers
- Referral bonuses up to $2,000
- Offices with entertainment and relaxation zones, table tennis, football, free snacks, coffee
- 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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