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Job Description – Senior Data Engineer
Responsibilities:
- Design, develop, and maintain data pipelines (ETL/ELT) to ensure reliable and efficient data integration across systems.
- Build and optimize data platform to support both structured and semi-structured data.
- Collaborate with Data Scientists and Data Analysts to enable advanced analytics and machine learning use cases.
- Monitor, troubleshoot, and optimize data workflows for performance and scalability.
- Ensure data quality, governance, and security across the entire data platform.
- Work closely with infrastructure teams to manage access control, backup, and compliance/regulatory requirements.
Qualifications:
Must Have:
- Bachelor's degree or higher in Computer Science, Information Technology, Data Engineering or related field.
- 5+ years of hands-on experience in data engineering, ETL or pipeline development.
- Strong SQL skills and experience with relational databases (e.g., PostgreSQL, Oracle, MSSQL).
- Knowledge of data warehouse, data lake architecture and data management control framework
- Proficiency in Python for data processing.
- Experience with at least one cloud data platform (e.g. Google BigQuery, Azure, Databricks).
- Solid understanding of data governance, data quality and security best practices.
Nice to Have:
- Experience with Google Cloud Platform, Airflow, Google Analytics,
- Familiarity with CI/CD pipelines for data workflows.
- Hands-on experience integrating data from various sources (APIs, streaming platforms, files, SharePoint, PowerApps).
- Strong problem-solving skills with effective communication and teamwork abilities.