
Senior ETL Data Engineer
2 days ago
We are seeking a highly skilled ETL Developer with expertise in data integration, transformation, and pipeline optimization. This role is a key part of our Data Engineering function within the Business Intelligence team, responsible for enabling robust data flows that power enterprise dashboards, analytics, and machine learning models.
Key Responsibilities:
- Design, develop, and maintain scalable ETL pipelines to move and transform data across internal and external systems.
- Collaborate with cross-functional teams including data analysts, BI developers, and data scientists to support reporting, modeling, and insight generation.
- Build and optimize data models and data marts to support business KPIs and self-service BI.
- Ensure data quality, lineage, and consistency across multiple source systems.
- Monitor and tune performance of ETL workflows, troubleshoot bottlenecks and failures.
- Support the migration of on-premise ETL workloads to cloud data platforms (e.g., Snowflake, Redshift, BigQuery).
Required Qualifications:
- 5–8 years of hands-on experience in ETL development or data engineering roles.
- Advanced SQL skills and experience with data wrangling on large datasets.
- Proficient with at least one ETL tool (e.g., Informatica, Talend, AWS Glue, SSIS, Apache Airflow, or Domo Magic ETL).
- Familiarity with data modeling techniques (star/snowflake schemas, dimensional models).
- Experience working with cloud data platforms (e.g., AWS, Azure, GCP).
Preferred Qualifications:
- Exposure to BI platforms like Tableau.
- Knowledge of CI/CD practices in a data engineering context (e.g., Git, Jenkins, dbt).
- Experience working in Agile/Scrum environments.
- Strong understanding of data security and compliance standards.
- Experience with API integrations and external data ingestion.
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