GCP Lead Data Engineer

Lead Data Engineer – Python & GCP

Location - 10+ Years

Job Overview :

We are seeking an experienced Lead Data Engineer with strong expertise in Python and Google Cloud Platform (GCP) . The ideal candidate will lead the end-to-end data engineering lifecycle—from requirement gathering and solution design to development, deployment, and post-delivery support. This role involves designing scalable ETL / ELT pipelines , architecting cloud-native solutions, implementing data ingestion & transformation processes, and ensuring data quality across systems.

Experience Level :

10+ years of relevant IT experience in data engineering and backend development.

Key Responsibilities :

• Design, develop, test, and maintain scalable ETL / ELT data pipelines using Python .
• Architect enterprise-grade data solutions using technologies such as Kafka , GKE , multi-cloud services, load balancers, APIGEE , DBT , LLMs, and DLP tools.
• Work extensively with GCP services , including :
• Dataflow – real-time & batch processing
• Cloud Functions – serverless compute
• BigQuery – data warehousing & analytics
• Cloud Composer – workflow orchestration (Airflow)
• GCS – scalable storage
• IAM – access control & security
• Cloud Run – containerized workloads
• Build APIs using Python FastAPI .
• Work with Big Data and processing technologies :
• Apache Spark , Kafka , Airflow , MongoDB , Redis / Bigtable
• Perform data ingestion, transformation, cleansing, and validation to ensure high data quality.
• Implement and enforce data quality checks, monitoring, and validation rules.
• Collaborate with data scientists, analysts, and engineering teams to understand data needs and deliver solutions.
• Use GitHub for version control and support CI / CD deployments.
• Write complex SQL queries for relational databases such as SQL Server , Oracle , and PostgreSQL .
• Document data pipeline designs, architecture diagrams, and operational procedures.

Required Skills :

Good to Have :