Gcp Data Engineer

Lancesoft; Bangalore Rural, Bengaluru; Vor Ort; INR 1.800.000 - 3.600.000; Vollzeit

Zusammenfassung

TCS is seeking a GCP Data Engineer to design, build and maintain data systems on Google Cloud Platform. The role focuses on pipelines with BigQuery, Dataflow and Pub/Sub, managing cloud storage and enabling real-time analytics.

Location is Bangalore, India; 4-10 years of data engineering experience with hands-on GCP delivery is preferred. Collaboration with analysts and stakeholders is essential for delivering tailored data solutions.

Qualifikationen

• Bachelor's degree in Computer Science, IT, Engineering or a related field.
• 4-10 years of data engineering experience with hands-on GCP delivery.
• GCP Professional Data Engineer certification preferred.

Aufgaben

• Design, build and maintain scalable batch and real-time data pipelines on GCP.
• Build ETL/ELT pipelines with rollback strategies, bad-record handling and performance optimization.
• Design end-to-end data integration flows across systems.
• Design scalable fact/dimension schemas in cloud data warehouses.
• Handle structured, semi-structured and unstructured data at scale.
• Implement data quality checks, security and compliance policies; protect sensitive information.
• Optimize data systems by identifying bottlenecks and tuning queries.
• Collaborate with data scientists, analysts and business stakeholders to deliver tailored data solutions.

Kenntnisse

GCP

SQL

Python

Data Pipelines

BigQuery

Dataflow

Pub/Sub

Cloud Storage

CI/CD

Ausbildung

Bachelor's degree in CS/IT/Engineering

Tools

GitHub Actions

Jenkins

Jobbeschreibung

Only F2F

TCS Yeshwanth Towers

Yeshwanthpur Industrial Suburb, Mahalakshmi Layout,

Bengaluru, Karnataka 560022

GCP Data Engineer

Job Description

Experience: 4-10 Years

Location: Bangalore, India

Employment:

Role Overview

We are seeking a GCP Data Engineer to design, build and maintain data systems on Google Cloud Platform. The role focuses on building pipelines with BigQuery, Dataflow and Pub/Sub, managing cloud storage, and enabling real-time data processing for fast, reliable analytics.

Key Responsibilities

• Design, develop and maintain scalable batch and real-time data pipelines on GCP.
• Build ETL/ELT pipelines with rollback strategies, bad-record handling and performance optimization.
• Design end-to-end data integration flows across systems.
• Design scalable fact/dimension schemas in cloud data warehouses.
• Handle structured, semi-structured and unstructured data at scale.
• Implement data quality checks, security and compliance policies; protect sensitive information.
• Optimize data systems by identifying bottlenecks, tuning queries and adopting new technologies.
• Collaborate with data scientists, analysts and business stakeholders to deliver tailored data solutions.

Technical Skills

• GCP Services: Cloud Run functions, Cloud Scheduler, Workflows, Pub/Sub, GCS, Dataflow, BigQuery, Cloud Build.
• Programming: Strong SQL / PL-SQL, Python and object-oriented languages (Java, Python); API development.
• CI/CD: Deployment using GitHub Actions and Jenkins.
• Data Modelling: Top-down and bottom-up database design, data masking, normalization, denormalization, dimensional modelling.
• Big Data & Streaming: Streaming architectures, NoSQL stores and key-value databases under high concurrency and volume.

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering or a related field.
• 4-10 years of data engineering experience with hands-on GCP delivery.
• Strong problem-solving, communication and stakeholder management skills.
• GCP Professional Data Engineer certification preferred.

Sourcing Preference

• Priority 1: Internal profiles (TCSers).
• Priority 2: If no suitable internal profile is identified, external candidates available for immediate joining.