GCP Data Pipeline Engineer

Job Title : Senior Data Engineer - GCP + Python

Location : Hyderabad

Years of Experience : 6+Years

About the Company

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.

Job Overview :

We are looking for a skilled and motivated Senior Data Engineer with strong experience in Python programming and Google Cloud Platform (GCP) to join our data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining robust and scalable ETL (Extract, Transform, Load) data pipelines. The role involves working with various GCP services, implementing data ingestion and transformation logic, and ensuring data quality and consistency across systems.

Key Responsibilities :

• Design, develop, test, and maintain scalable ETL data pipelines using Python.
• Work extensively on Google Cloud Platform (GCP) services such as :
• Dataflow for real-time and batch data processing
• Cloud Functions for lightweight serverless compute
• BigQuery for data warehousing and analytics
• Cloud Composer for orchestration of data workflows (based on Apache Airflow)
• Google Cloud Storage (GCS) for managing data at scale
• IAM for access control and security
• Cloud Run for containerized applications
• Should have experience in the following areas :
• API framework : Python FastAPI
• Processing engine : Apache Spark
• Messaging and streaming data processing : Kafka
• Storage : MongoDB, Redis / Bigtable
• Orchestration : Airflow
• Perform data ingestion from various sources and apply transformation and cleansing logic to ensure high-quality data delivery.
• Implement and enforce data quality checks, validation rules, and monitoring.
• Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver efficient data solutions.
• Manage version control using GitHub and participate in CI / CD pipeline deployments for data projects.
• Write complex SQL queries for data extraction and validation from relational databases such as SQL Server, Oracle, or PostgreSQL.
• Document pipeline designs, data flow diagrams, and operational support procedures.

Required Skills :

Experience in data migrations from on-premise data sources to Cloud platforms.