GCP Data Engineer+Pyspark
Job in
560001, Vasanthanagar, Karnataka, India
Listed on 2026-08-30
Listing for:
Tata Consultancy Services
Full Time
position Listed on 2026-08-30
Job specializations:
-
IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Greetings from TCS Recruitment Team!
* Face to Face
* Interview For all those GCP Data Engineer+Pyspark we are coming bigger with the plan of Face to Face Drive on 22nd August ,2026 (Saturday) in Bangalore
It is a Face to Face interview planned to attract great Talents in GCP Data Engineer+Pyspark. We believe that your skills and expertise are a better match for the skills we are looking for.
Skill: GCP Data Engineer+Pyspark (Face to Face)
Years of experience: 5+
Location :
Bangalore
Date: 22nd August ,2026 (Saturday) (Face to Face)
Drive Time: 9AM to 2 PM
Job Description :
Google Data Engineer (Overall 5+ Years with 4 years relevant hands-on experience)
Experience working in GCP based Big Data deployments (Batch/Realtime) leveraging components like GCP Big Query, air flow, Google Cloud Storage, Data fusion, Data flow, Data Proc etc.
Good skills in Python Language, PYSPARK
Good Skills in Linux
Exposure to creation of CI-CD pipelines for promoting big data release deployments and designing log monitoring features.
Excellent written and verbal communication skills in English
The following skills are good to have, but not a requirement:
Must have knowledge in Java Micro Services and Java FSD (Desirable)
Good-to-Have
Experience in On Premise Hadoop technologies (Hive, Sqoop, SPARK, Kafka)
Hadoop, Spark, Apache Beam
Responsibility of / Expectations from the Role :
Data modelling/Data warehouse modernization/Cloud based data lakes
Create and maintain optimal data pipeline architecture.
Define technical roadmap for data platform modernization and analysis and assessment of the existing data platforms.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Google cloud ‘big data’ technologies.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Define KPIs for successful modernization of data platform and measure the improvement against the KPIs.
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