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Billennium is an international IT services and software development company specializing in cloud solutions, enterprise application development, and digital transformation. Headquartered in Poland with global delivery centers, the company provides end-to-end technology services, managed IT, and staff augmentation to enterprise clients worldwide. By partnering with leading cloud platforms like AWS, Microsoft, and Salesforce, Billennium helps organizations optimize their digital infrastructure and streamline business operations.

We are seeking a skilled Snowflake Data Engineer to support enterprise data transformation initiatives involving SAP S/4HANA source systems, Snowflake cloud data platform, and Ataccama for data quality and governance.

The role focuses on building scalable data pipelines, enabling seamless data movement, and ensuring high-quality, governed data delivery for downstream analytics and business consumption.

Responsibilities

Data Engineering & Integration

  • Design, develop, and maintain end-to-end ETL/ELT pipelines for data extraction from SAP S/4HANA into Snowflake

    Build scalable data ingestion frameworks (batch and/or real-time) for structured and semi-structured data

    Implement transformation logic using SQL, Snowflake features (Streams, Tasks), or supporting tools (e.g., Spark/ADF/DBT if applicable)

  • Snowflake Platform Development
  • Develop and optimize data models, schemas, and pipelines within Snowflake

    Manage performance tuning including:

  • Query optimization

    Warehouse sizing

Data partitioning and clustering

  • Implement best practices for cost and performance optimization
  • Data Quality & Governance (Ataccama)
  • Integrate and support Ataccama for:
  • Data quality rules
  • Data validation framework

Data profiling and monitoring

  • Ensure data consistency between source (S/4HANA) and target layers

    Collaborate on data governance, metadata, and lineage initiatives

  • Collaboration & Stakeholder Engagement
  • Work closely with business analysts, SAP teams, and data architects

    Translate functional requirements into technical pipeline design

    Provide support during testing, validation, and production deployment

  • Operational Excellence
  • Monitor data pipelines and resolve production issues

    Implement logging, alerting, and data validation mechanisms

    Support CI/CD and DevOps practices for data pipeline deployment

Requirements

Core Technical Skills

  • Strong experience with Snowflake (data modeling, ELT pipelines, performance tuning)
  • Experience integrating data from SAP S/4HANA or similar ERP systems
  • Solid SQL expertise and data warehousing concepts (star schema, dimensional modeling)
  • Hands-on experience with ETL/ELT tools (e.g., ADF, Informatica, Talend, DBT, or similar)
  • Data Quality & Governance
  • Experience working with Ataccama (preferred) OR similar data quality tools (Informatica DQ, Collibra, etc.)
  • Understanding of data governance, validation frameworks, and metadata management
  • Programming & Cloud
  • Proficiency in Python / PySpark (preferred)
  • Experience with cloud platforms (Azure, AWS, or GCP)
  • Exposure to orchestration tools (Airflow, ADF pipelines, etc.)

Nice to Have

  • Prior experience in SAP data models (FI, SD, MM, etc.)
  • Knowledge of real-time ingestion frameworks
  • Experience in data migration or transformation programs
  • Snowflake certifications (e.g., SnowPro Data Engineer)

Soft Skills

  • Strong analytical and problem-solving skills
  • Ability to work in cross-functional environments
  • Clear communication with both technical and business stakeholders
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