EPAM Systems

Senior AI Data Software Engineer

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SeniorZdalnie·ŁódźFull-time

#450762·Dodano miesiąc temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

Python Apache Spark Databricks SQL MongoDB Cassandra ETLData Warehousing

Podsumowanie oferty

As a Senior AI Data Software Engineer at EPAM Systems, you will work within the Data Competency Center, handling diverse projects ranging across multiple industries including Financial, Health Care, and Insurance. Your primary role will involve implementing and optimizing data ingestion, transformation, and processing technologies focusing on AI adoption. Collaboration with cross-functional teams and leading data software engineering best practices are key responsibilities.

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 with 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 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 tools such as Spark, Databricks, and various Cloud Services
Participate in next waves of AI Adoption by implementing agentic development environments
Implement 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 integrity and security of data sources and platforms
Perform troubleshooting, debugging, and upgrading of data systems and applications

Benefity

Opportunity to work with top tech minds in AI, cloud, and digital platform modernization
Supportive team and agile, startup-like culture
Hybrid work mode with remote work opportunities within Poland
Chance to work abroad for up to 60 days annually
Business-driven relocation opportunities
Career development programs including mentoring and certification (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, and coffee
Corporate, social, and well-being events

Elastyczne godziny

Pakiet relokacyjny

Szkolenia wewnętrzne

Budżet konferencyjny

Dofinansowanie szkoleń

Kursy językowe

Karta sportowa

Opieka zdrowotna

Premie

Udziały pracownicze

Darmowe przekąski

Napoje w biurze

Spotkania integracyjne

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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