Data Engineer
Tata Consultancy Services
6 - 8 years
Hyderabad
Posted: 08/01/2026
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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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