Lead Data Engineer - Python & GCP || Contract Job || 8-10 Years Experience

About Client :

Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.

Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.

Job Title : Data Engineer - Python & GCP

Experience Level : 8-10 Years

Job Location : Hyderabad

Budget : 1,60,000 Per Month

Job Type : Contract

Work Mode : Hybrid

Notice Period : Immediate Joiners

Client : CMMI Level 5

Job Description :

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 :

Additional Details :