Lead Data Engineer - SQL / Python

Description : Job Summary :

We are seeking a highly skilled Lead Data Engineer with strong expertise in SQL, Python, Big Data technologies, and Google BigQuery. The ideal candidate will design and build scalable data pipelines, lead data integration initiatives, and ensure optimal data quality and performance across large datasets. This role involves close collaboration with data analysts, scientists, and business teams to deliver reliable and high-performing data solutions.

Roles & Responsibilities :

• Design, develop, and maintain scalable and reliable data pipelines for batch and real-time processing.
• Lead and mentor a team of data engineers in best practices, performance tuning, and code quality.
• Implement ETL / ELT workflows using Python, SQL, and modern orchestration tools (Airflow, Dataflow, etc.).
• Optimize and manage large-scale datasets using BigQuery, Data Lake, or Data Warehouse architectures.
• Collaborate with analytics, BI, and business teams to ensure data accuracy, consistency, and availability.
• Work with Big Data tools (e.g., Hadoop, Spark, Kafka) for data transformation and aggregation.
• Ensure proper data governance, lineage, and documentation of data flows.
• Develop and maintain unit tests, monitoring, and data quality validation frameworks.
• Integrate data from multiple sources (APIs, databases, cloud storage) into unified data systems.
• Participate in architecture reviews and contribute to the overall data platform strategy.

Required Skills & Qualifications :

Preferred Skills (Good to Have) :

(ref : hirist.tech)