Data Engineer
2 weeks ago
Key Responsibilities
- Build and maintain scalable ETL/ELT data pipelines using Python and cloud-native tools.
- Design and optimize data models and queries on Google BigQuery for analytical workloads.
- Develop, schedule, and monitor workflows using orchestration tools like Apache Airflow or Cloud Composer.
- Ingest and integrate data from multiple structured and semi-structured sources, including MySQL, MongoDB, APIs, and cloud storage.
- Ensure data integrity, security, and quality through validation, logging, and monitoring systems.
- Collaborate with analysts and data consumers to understand requirements and deliver clean, usable datasets.
- Implement data governance, lineage tracking, and documentation as part of platform hygiene.
Must-Have Skills
- 36 years of experience in data engineering or backend development.
- Strong experience with Google BigQuery and GCP (Google Cloud Platform).
- Proficiency in Python for scripting, automation, and data manipulation.
- Solid understanding of SQL and experience with relational databases like MySQL.
- Experience working with MongoDB and semi-structured data (e.g., JSON, nested formats).
- Exposure to data warehousing, data modeling, and performance tuning.
- Familiarity with Git-based version control and CI/CD practices.
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