Lead Data Engineer (m/f/d) Google Cloud GCP
T-Mobile (company site, opens in a new tab)Uttar PradeshOn-siteDirect career pageEst. 28–45 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable data pipelines using Google Cloud Platform services, including BigQuery, Dataflow, Storage, SQL, and Dataproc.
- Lead and mentor a team of data engineers, set technical direction, and ensure delivery of data engineering projects for a greenfield data platform.
- Collaborate with data scientists and stakeholders to develop efficient ETL/ELT workflows, optimize data infrastructure performance, and implement security best practices (IAM, encryption).
Minimum Requirements
- Work Experience Required: Extensive experience in data engineering and data pipeline development.
- Must have advanced skills in SQL, Python (including PySpark, Pandas, NumPy), distributed data processing with Spark, and GCP data services (BigQuery, Dataflow, Storage, SQL, Dataproc).
- Must have experience with data warehousing, data modeling (star/snowflake schemas), and cloud architecture for scalable data systems.
- Must be fluent in English at C1 level. Remote work allowed only within Slovakia due to taxation regulations.
Ideal Candidate Profile
- Experienced leader comfortable managing and mentoring a data engineering team building a greenfield, modern data platform with high ownership of architecture and delivery.
- Strong technical expertise in modern GCP data ecosystem with practical skills in developing and optimizing large-scale ETL/ELT pipelines, data modeling, and performance tuning.
- Comfortable working in a co-located, agile environment with cross-functional collaboration involving data scientists and other stakeholders.