Big Data Engineer

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

• 3 - 7 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.