Company : Forbes Advisor
Job Title: Data Engineering Lead
Location: Remote (Hybrid for Chennai-based candidates)
Experience Required: Minimum 6 years total, including:
3+ years in GCP
2+ years in DBT (Data Build Tool)
People management experience is mandatory
Notice Period: Immediate
GCP Certification: Preferred (not mandatory)
About the Role:
We are looking for a hands-on Data Engineering Lead who brings deep technical expertise in Google Cloud Platform (GCP) and DBT, combined with strong leadership skills. The role requires managing teams, architecting modern data solutions, building scalable data pipelines, and ensuring best engineering practices are followed. Candidates with experience handling marketing data pipelines will be preferred.
Key Responsibilities:
Lead end-to-end development and deployment of robust, scalable, and maintainable ETL/ELT data pipelines on GCP
Work extensively with DBT to model and transform data
Design data architecture and strategy for various business use cases (especially marketing data)
Collaborate with product managers, analysts, and data scientists to understand data requirements
Manage and mentor a team of data engineers, ensure adherence to engineering best practices
Ensure systems are cost-efficient, well-monitored, and follow data quality and security standards
Identify and troubleshoot issues in data pipelines; improve reliability and performance
Drive code reviews, testing strategies, and documentation efforts
Work with orchestration tools to automate workflows (Airflow, Cloud Composer, etc.)
Required Skills & Experience:
6+ years of experience in data engineering or a related role
3+ years experience working on GCP (BigQuery, GCS, Pub/Sub, Dataflow, etc.)
2+ years hands-on with DBT
Experience managing teams
Experience in marketing data pipelines (mandatory)
Proficient in orchestration tools such as Airflow or Cloud Composer
Strong understanding of cloud databases like BigQuery, Snowflake, Redshift, etc.
Experience with requirements gathering, stakeholder management, and designing data architecture
Familiarity with version control, CI/CD, testing frameworks for data pipelines
Preferred Qualifications:
GCP certification (Associate or Professional level)
Strong communication and team collaboration skills
