Lead Data Engineer - GCP

Important Note (Please Read Before Applying)

Do NOT apply if :

You have less than 10 years or more than 12 years of total IT experience

You do not have hands-on experience with Python and GCP Data Engineering projects

You lack real-world experience in building and deploying ETL / ELT pipelines using GCP services (Dataflow, BigQuery, Composer, etc.)

You have no exposure to Apache Spark, Kafka, or Airflow

You are on a notice period longer than 30 days

You are looking for a purely remote role (onsite / client engagement required)

You come from a non-data background (e.g., testing, support, or non-engineering roles)

✅ Apply ONLY if you meet ALL mandatory skills and criteria above.

Job Title :

Lead Data Engineer - GCP + Python

Location : Hyderabad

Years of Experience :

10+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 Description :

Key Responsibilities :

• Design, develop, test, and maintain scalable ETL data pipelines using Python.
• Architect the enterprise solutions with various technologies like Kafka,

multi-cloud services, auto-scaling using GKE, Load balancers, APIGEE proxy API

management, DBT, using LLMs as needed in the solution, redaction of sensitive

information, DLP (Data Loss Prevention) etc.

○ 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 (on Apache Airflow)

○ Google Cloud Storage (GCS) for managing data at scale

○ IAM for access control and security

○ Cloud Run for containerized applications

Required Skills :

projects.

(especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.).

transformation techniques.

CI / CD practices.

Oracle, PostgreSQL, etc.).

✅ Mandatory Skills

Strong hands-on expertise in Python for backend and data engineering projects