Designation :
Level :
Location : Gurugram, Haryana , India
Experience : 5 to 10 years
Job Role :
About the Role
We're hiring a Lead Data Engineer to build and deploy data pipelines across on-prem and cloud environments. You should be comfortable in PostgreSQL, GCP/BigQuery, Spark, Kubernetes, and Jenkins, and ready to take ownership of how pipelines get architected and deployed.
As the lead on this, you'll drive technical decisions, review other engineers' work, and be the go-to person when something in the pipeline needs fixing or rethinking.
Key Responsibilities
Build and maintain ETL/ELT pipelines end to end
Set up and manage Jenkins pipelines for deployment and job orchestration
Write and optimize PostgreSQL queries and schemas
Build data solutions on GCP, including BigQuery
Write Spark jobs for distributed data processing
Deploy and manage containerized workloads on Kubernetes
Keep pipelines monitored and reliable - handle errors, logging, and recovery properly
Write clean, tested Python and SQL
Review code and keep the team's CI/CD and version control practices solid
Mentor other data engineers on the team
Required Qualifications
5+ years of hands-on data engineering experience, with real ownership of production pipelines (not just contributing to them)
Strong experience with GCP, including big data ETL and containerized ETL workloads
Proficiency with Apache Spark for distributed/batch processing
Experience with Kubernetes for container orchestration
Solid track record building and managing Jenkins pipelines
Strong PostgreSQL skills, including query optimization and schema design in an on-prem setting
Experience running ETL workflows in on-prem environments, not just cloud-native setups
Strong SQL and Python skills
Experience building ETL/ELT pipelines from raw source data through to modeling-ready datasets
Preferred Qualifications
Experience with hybrid architecture - moving and syncing data between on-prem and cloud
Familiarity with dimensional data modeling for analytics/BI (star schema, etc.)
Experience with infrastructure-as-code (Terraform, Helm) for Kubernetes/GCP
Familiarity with data quality/testing tools like Great Expectations or dbt tests
Experience mentoring or leading other data engineers
