Senior Data Engineer with Google Cloud Platform Expertise

Sr Lead Data Engineer With GCP

Area(s) of responsibility

Job Title: Sr. Data Engineer / Jr Solution Architect
Location - Noida/Pune/Bengaluru/Chennai/Mumbai
Shift - 12Pm-10 PM
Mode - Hybrid - 3 days a week
Notice Period - Immediate-30 Days

Primary Skill: - PySpark / Apache Spark, GCP, Dataproc jobs, APIGEE / API Integration(Knowledge should be there),  Should be experience in developing ETL and ELT pipelines. 

Key Roles & Responsibilities:
•    Design and implement scalable solutions on Google Cloud Platform based on business requirements
•    Build and manage data pipelines using Dataproc and PySpark for batch processing
•    Develop, optimize, and manage datasets and queries in BigQuery
•    Create and manage Dataproc jobs, ensuring performance, reliability, and cost efficiency
•    Develop backend and event-driven components using Cloud Functions
•    Deploy and manage containerized applications on Google Kubernetes Engine
•    Support development of AI/ML and Generative AI solutions using Vertex AI
•    Implement monitoring, logging, and alerting using Cloud Monitoring
•    Troubleshoot production issues, debug data pipelines, and ensure system stability
•    Contribute to solution design documents (HLD/LLD) and architecture discussions
•    Participate in client interactions, requirement gathering, and solution walkthroughs
•    Collaborate with cross-functional teams including data, DevOps, and application teams

Skill Requirement: 
•    4–8 years of experience with at least 2–3 years hands-on in GCP
•    Strong programming skills in Python
•    Hands-on experience with PySpark / Apache Spark (mandatory)
•    Experience working with Dataproc jobs and cluster management
•    Strong SQL skills and experience with BigQuery
•    Understanding of data pipeline design (batch and basic streaming)
•    Experience with serverless and microservices-based architecture
•    Hands-on exposure to GKE and container-based deployments
•    Basic knowledge of Vertex AI, ML concepts, and Generative AI (LLMs, RAG)
•    Familiarity with monitoring, logging, and debugging distributed systems
•    Understanding of cloud fundamentals (IAM, networking, security basics)
•    Exposure to CI/CD pipelines and Infrastructure as Code (Terraform preferred)
•    Good problem-solving and analytical skills
•    Ability to communicate technical concepts clearly to stakeholders
•    Experience in production support and handling real-world system issues
•    Willingness to learn, adapt, and grow into a Solution Architect role

Experience Level

Senior Level