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Data Warehouse Engineer
2 months ago
We are seeking a skilled Data Warehouse Engineer to join our team and contribute to the development of automated data pipelines from heterogeneous sources.
Key Responsibilities:
- Collaborate with product owners and internal teams to design and deploy ETL workflows across various data sources, including file and data validation, exception handling, and reporting.
- Work with data analysts and engineers to understand data requirements and develop ETL solutions that meet business needs.
- Optimize ETL workflows for performance, scalability, and reliability, ensuring timely and accurate data delivery.
- Develop and maintain standards and documentation for ETL processes, including data mappings, transformations, and workflow diagrams.
- Monitor ETL jobs, troubleshoot issues, and implement enhancements to improve data quality and system efficiency.
- Ensure compliance with data governance policies and security standards throughout the ETL lifecycle.
Requirements:
- Proven experience as an ETL Developer or Data Engineer, with a strong understanding of data warehousing concepts and ETL tools.
- Experience with cloud platforms (e.g., AWS) and big data technologies (e.g., Databricks, Spark).
- Proficiency in SQL and scripting languages (e.g., Python) for data manipulation and automation.
- Familiarity with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and data modeling techniques.
- Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.