Lead Data Engineer - ETL / Data Warehousing

Exp : 6+ years

Mode : Remote ( For Chennai candidates it will work from office)

Mandate Skills : Data engineering, GCP, DBT, Lead exp, ETL,

The Role :

We are hiring a Data Engineering Lead to help scale and guide our growing team of data engineers. This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and enabling cross-functional teams to deliver data products with clarity and speed.

You will manage a small team of individual contributors responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You will be expected to drive engineering excellence from code quality to deployment hygiene while playing a key role in sprint planning, architectural discussions, and stakeholder collaboration.

This is a critical leadership role as our data organization expands to meet increasing demand across media performance, optimization, customer insights, and advanced Youll Do :

• Lead and grow a team of data engineers working across ETL / ELT, data warehousing, and ML enablement.
• Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication.
• Set and enforce strong engineering practices around code reviews, testing, observability, and documentation.
• Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales.
• Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer).
• Model and transform data using dbt and SQL to support reporting, attribution, and optimization needs.
• Ensure data security, compliance, and scalability particularly around first-party customer data.
• Mentor junior engineers through code reviews, pairing, and technical roadmap You Bring :
• 6+ years of experience in data engineering, including 2+ years in people management or formal team leadership.
• Strong technical background with Python, Spark, Kafka, and orchestration tools such as Airflow.
• Deep experience working in GCP, particularly BigQuery, GCS, and Composer.
• Strong SQL skills with familiarity in dbt for modeling and documentation.
• Solid understanding of data privacy and governance, including safe management and segmentation of first-party data.
• Experience in agile environments, including sprint planning and ticket scoping.
• Excellent communication skills with proven ability to work cross-functionally across global teams.

Nice to Have :

(ref : hirist.tech)