Live opening · Posted 14 hours ago

Bangalore Walkin_Data Engineer(GCP Components, Python, SQL, Google Cloud, Big Query)

Tata Consultancy Services (TCS) · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 14 hours ago
CompanyTata Consultancy Services (TCS)
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SkillsPython, GCP, SQL, Java
SourceLinkedin
ListedPosted 14 hours ago

About the role

Description supplied by the original job listing.

TCS Walkin - hiring for Data Engineer (GCP, Python, SQL)
Exp-6 to 10 yrs
Location -ITPL Whitefield Bangalore
GCP Components, Python, SQL, Google Cloud, Big Query
Interview Date: 24th Oct
Time: 9AM to 2 PM
Documents to Carry
Please bring the following documents for the interview:
Updated Resume
Xerox copy of Government ID Proof (PAN or Aadhar)
Passport-size Photograph(s)
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.

Work arrangement
No

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