Data Engineer Technical Lead

You will be working as a Technical Lead Data Engineer for a leading data and AI/ML solutions provider based in Gurgaon. In this role, you will be responsible for designing, developing, and leading complex data projects primarily on Google Cloud Platform and other modern data stacks. Your key responsibilities will include leading the design and implementation of robust data pipelines, collaborating with cross-functional teams to deliver end-to-end data solutions, owning project modules, developing technical roadmaps, and implementing data governance frameworks on GCP. You will be required to integrate GCP data services like BigQuery, Dataflow, Dataproc, Cloud Composer, Vertex AI Studio, and GenAI with platforms such as Snowflake. Additionally, you will write efficient code in Python, SQL, and ETL/orchestration tools, utilize containerized solutions for scalable deployments, and apply expertise in PySpark, Kafka, and advanced data querying for high-volume data environments. Monitoring, optimizing, and troubleshooting system performance, reducing job run-times through architecture optimization, developing data warehouses, and mentoring team members will also be part of your role. To be successful in this position, you should have a Bachelors or Masters degree in Computer Science, Engineering, or a related field. Extensive hands-on experience with Google Cloud Platform data services, Snowflake integration, strong programming skills in Python and SQL, proficiency in PySpark, Kafka, and data querying tools, and experience with containerized solutions using Google Kubernetes Engine are essential. Strong communication skills, documentation skills, experience with large distributed datasets, and the ability to balance short-term deliverables with long-term technical sustainability are also required. Prior leadership experience in data engineering teams and exposure to cloud data platforms are desirable. This role offers you the opportunity to lead high-impact data projects for reputed clients in a fast-growing data consulting environment, work with cutting-edge technologies, and collaborate in an innovative and growth-oriented culture.,