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Data Engineer

Tata Consultancy Services

6 - 8 years

Hyderabad

Posted: 17/12/2025

Job Description

Greetings from TCS!

TCS has always been in the spotlight for being adept in the next big technologies. What we can offer you is a space to explore varied technologies and quench your techie soul.



We are hiring Data Engineer role for Hyderabad Location


Role: Data Engineer

Required Skill: Python ,Databricks ,SQL

Experience: 6-8 years

Location: Hyderabad


Minimum Qualification:

15 years of full time educationBE/B.TECH/BCA/MCA/MSC


Job Description:

  • Advanced working Python/Databricks/SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing Cloud big data data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of understanding, processing, and extracting value from large, disconnected datasets.
  • Working knowledge of message queuing, stream processing and highly scalable big data data stores.
  • Understating of various data sets Structured, Semi Structured, Data at rest /Motion
  • Experience in Data Modeling



Responsibility of / Expectations from the Role:

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • 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 ingestion, transformation, and Publishing of data from a wide variety of data sources using Python/Spark and AWS big data technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.




Thanks & Regards,

Ria Aarthi A.

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