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Senior Data Engineer

1 month ago
Germany, Poland, Portugal, Romania, Spain, Ukraine
Full-time
Senior
Data Engineer
Software Development
AWS CRM dbt ERP Kafka Pandas Power BI Python REST API Salesforce Snowflake SQL
Apply Now
Trinetix

Trinetix

Trinetix provides comprehensive software product engineering and design services to Fortune 500 companies and emerging brands, enabling them to innovate and enhance their digital operations for sustainable growth in a competitive landscape.

Internet Software & Services
251-1K
Founded 2011
View All Jobs 2

Description

  • Design and develop production ETL/ELT pipelines integrating Snowflake, Snowpipe, internal systems, Salesforce, SharePoint, and DocuSign.
  • Build and maintain dimensional data models (Kimball methodology, SCDs) in Snowflake using dbt and implement data quality checks.
  • Implement CDC patterns for near real-time data synchronization across systems.
  • Manage and evolve the data platform spanning S3 data lake (Apache Iceberg) and Snowflake data warehouse.
  • Design and maintain a Medallion architecture data lake in Snowflake.
  • Prepare and publish ML features using SageMaker Feature Store to support models in production.
  • Develop analytical dashboards and reports in Power BI for business stakeholders.
  • Partner with engineering and business stakeholders to take forecasting, asset cascading, contract analysis, and risk detection models from concept to production on AWS.

Requirements

  • 5+ years of experience in data analysis or data engineering.
  • 3+ years of hands-on experience building and supporting production ETL/ELT pipelines.
  • Advanced SQL skills including CTEs, window functions, and performance optimization.
  • Strong Python skills, including pandas and API integrations.
  • Proven experience with Snowflake (schema design, Snowpipe, Streams, Tasks, performance tuning, and data quality).
  • Solid knowledge of AWS services: S3, Lambda, EventBridge, IAM, CloudWatch, and Step Functions.
  • Strong understanding of dimensional data modeling (Kimball methodology, SCDs).
  • Experience working with enterprise systems such as ERP or CRM.
  • Nice-to-have: experience with data quality frameworks (Great Expectations, Deequ), CDC tools/concepts (AWS DMS, Kafka, Debezium), data lake technologies (Apache Iceberg, Parquet), SageMaker Feature Store exposure, and document processing tools like Amazon Textract.

Benefits

  • Continuous learning and career growth opportunities.
  • Professional training and English/Spanish language classes.
  • Comprehensive medical insurance.
  • Mental health support.
  • Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more.
  • Flexible working hours.
  • Inclusive and supportive culture.

Interested in this position?

Apply directly on the company website

Apply Now

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