GCP Data Engineer
Teamware Solutions
2 - 5 years
Bengaluru
Posted: 26/02/2026
Job Description
Greetings from Teamware Solutions a division of Quantum Leap Consulting Pvt Ltd
Job Description:
Role1: GCP Data Engineer
Role2: GCP Data Engineer Manager | 10+ yrs
Role3: GCP DevOps Engineer
Role4: GCP DevOps Engineer Manager | 10+ yrs
Experience: 6-10 Yrs
Location : Bangalore / Kolkata
Work Mode: Hybrid
Shift : (Flexibility Required) / 2:00 PM - 11 : 00 PM
Notice Period: Immediate to 20 Days preferred
Fastest way to get connected LinkedIn
Role Overview
We are seeking a GCP Senior Associate Data Engineer to design and deliver scalable,
cloudnative data solutions on Google Cloud Platform (GCP). The role focuses on building
reliable data pipelines and analytics platforms to support enterprise and
banking/financial services use cases. You will work closely with architects, analysts, and
client stakeholders to translate business requirements into efficient data engineering
solutions.
Key Responsibilities
Design, develop, and maintain scalable data pipelines on GCP using cloudnative
services.
Build and optimize data warehouses and analytics solutions using BigQuery.
Develop batch and streaming pipelines using Apache Spark, Apache Beam, and
related frameworks.
Implement workflow orchestration and scheduling using Apache Airflow.
Ensure data quality, reliability, security, and performance in line with enterprise
and regulatory standards.
Collaborate with crossfunctional teams to support analytics, reporting, and
downstream consumption.
Apply DevOps and CI/CD best practices for data engineering workloads.
Required Skills &Experience:
Strong hands on experience with GCP, especially BigQuery.
Proficiency in Apache Spark, Apache Beam, and Airflow.
Solid experience building ETL/ELT pipelines for largescale data processing.
Strong programming skills in Python.
Experience working in banking or financial services environments (preferred).
Understanding of data governance, security, and compliance concepts.
Nice to Have:
GCPrelevant certifications (e.g., Professional Data Engineer).
Experience with streaming data and realtime analytics.
Exposure to CI/CD, IaC, and cloud cost optimization.
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