Senior AI Data Software Engineer

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SeniorFull-time
#450772·Dodano 10 dni temu·1
Źródło: justjoin.it
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Tech Stack / Keywords

PythonApache SparkDatabricksData WarehousingAzureAWSGCPSQLCassandraMongoDB

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, EPAM empowers clients to become AI-Native enterprises, driving measurable value from innovation and digital investments. The role is based in Wroclaw at the Data Competency Center working on diverse projects across domains including 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 with AI development tools such as 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, 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
  • 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 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 join top tech minds driving innovation in AI, cloud, and digital platform modernization
  • Supportive team and agile, startup-like culture
  • Hybrid by design work mode with remote work opportunity within Poland
  • Chance to work abroad for 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 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, football, free snacks, coffee
  • Corporate, social, and well-being events
Elastyczne godziny
Dofinansowanie szkoleń
Budżet konferencyjny
Opieka zdrowotna
Karta sportowa
Premie
Udziały pracownicze
Płatny urlop
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 dostępną na stronie: https://www.epam.com/applicant-privacy-notice

EPAM Systems

EPAM Systems

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