Job description
Position: Team Lead – Data Engineering
We are looking for an experienced Team Lead / Architect – Data Engineer to design, architect, and lead scalable cloud-based data platforms.
Key Responsibilities:
Design and architect scalable, high-performance data solutions.
Lead and mentor a team of data engineers.
Build and optimize large-scale data pipelines.
Drive architectural decisions and technical strategy.
Ensure data quality, governance, and security best practices.
Collaborate with cross-functional teams for end-to-end delivery.
Required Skills:
Strong hands-on experience in Java .
Strong expertise in SQL and Big Data technologies.
Hands-on experience with Google Cloud Platform (GCP).
Experience with Apache Airflow for workflow orchestration.
Strong understanding of distributed systems and data architecture.
Experience in CI/CD pipelines (mandatory).
Experience in data warehousing and ETL processes.
Excellent leadership and stakeholder management skills.
Good to Have:
Experience with Dataflow (Apache Beam).
Experience designing enterprise-level data platforms.
Exposure to DevOps best practices.
Why Join Us?
Work on cutting-edge cloud data projects.
Leadership opportunity with high ownership.
Dynamic and growth-oriented work environment.
Originally posted on Himalayas
Who can apply
The source lists worldwide eligibility. Accepted UTC offsets: UTC-11, UTC-10, UTC-9.5, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC-4, UTC-3.5, UTC-3, UTC-2, UTC-1, UTC+0, UTC+1, UTC+2, UTC+3, UTC+3.5, UTC+4, UTC+4.5, UTC+5, UTC+5.5, UTC+5.75, UTC+6, UTC+6.5, UTC+7, UTC+8, UTC+8.75, UTC+9, UTC+9.5, UTC+10, UTC+10.5, UTC+11, UTC+12, UTC+12.75, UTC+13, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.