Walk-in | Gcp Data Engineer (Walk-in Drive)

Tata Consultancy Services Limited; Bengaluru; Sur place; INR 1 800 000 - 3 200 000; Plein temps

Résumé du poste

Tata Consultancy Services Limited is seeking a GCP Data Engineer in Bangalore with 8–10 years of experience to design and maintain cloud-based data systems. You will build pipelines using BigQuery, Dataflow, and Pub/Sub to enable real-time analytics, work on scalable data warehousing models, and implement robust ETL/ELT processes.

Responsibilities include deploying pipelines with CI/CD tools like GitHub Actions or Jenkins, collaborating with cross-functional teams, and ensuring high performance

Qualifications

• 8–10 years of experience in data engineering or related field.
• Proficiency with Google Cloud Platform data services including BigQuery, Dataflow, Pub/Sub.
• Strong SQL (PL/SQL preferred) and Python scripting; experience with APIs.
• Experience deploying pipelines using CI/CD tools like GitHub Actions or Jenkins.
• Ability to design scalable data warehousing models and ETL/ELT pipelines.

Responsabilités

• Create and maintain data systems on Google Cloud Platform.
• Build pipelines using BigQuery, Dataflow, and Pub/Sub for real-time analytics.
• Design and implement scalable data warehousing models and data pipelines.
• Handle ETL/ELT processes with rollback strategies and performance optimization.
• Collaborate with teams to deploy data solutions using CI/CD workflows.

Connaissances

GCP

BigQuery

Dataflow

Pub/Sub

SQL

Python

Java

APIs

Data warehousing

ETL/ELT

Outils

GitHub Actions

Jenkins

Cloud Run

Cloud Scheduler

Workflow

GCS

Dataflow

BigQuery

Description du poste

Role- GCP Data Engineer

Desired Experience Range - 8-10 years

Location- Bangalore

Drive Venue- Walkin (Bangalore Explorer building ITPL)

Roles and Responsibilities

GCP data engineers create and maintain data systems on Google Cloud Platform. Their roles and responsibilities focus on using tools like BigQuery, Dataflow, and Pub/Sub to build pipelines, manage cloud storage, and enable real-time data processing for fast, reliable analytics.

• Technical skills:
• Experience with GCP data engineering components like cloud run functions, cloud scheduler, workflow, pub/sub, GCS, dataflow, Bigquery, cloud build.
• Deployment using GitHub actions, Jenkins
• Deep query language experience (SQL / PL-SQL), Python, and object-oriented languages (Java, Python); developing APIs.

• Data Warehousing & Modelling:
• Top-down & bottom-up database design, data masking, normalization, denormalization, and dimensional modeling.
• Designing scalable fact/dimension schemas in cloud data warehouses.

• Big Data & Streaming:
• Handling structured, semi-structured, and unstructured data at scale.
• Experience with streaming architectures, NoSQL stores, and key-value databases under high concurrency and volume.

• ETL / ELT Pipelines:
• Building data pipelines with rollback strategies, bad-record handling, and performance optimization.
• Designing end-to-end data integration flows.