GCP Data Engineer

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

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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.