[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Hyderabad # Databricks Engineer Hyderabad Data & Analytics Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/420219J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Databricks Engineer ## Job description ### Role Azure Data Engineer Exp Required: 4-10 years Location: PAN INDIA Tech stack: Azure Data Factory, databricks, python, pyspark, SQL Responsibility: 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. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in o ur data systems Must have: 4 Yrs + of IT Experience building Data Applications Advanced working SQL, Python/PySpark knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience of working in Databricks 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. Experience in Data Modeling Experience supporting and working with cross-functional teams in a dynamic environment. and knowledge of one or more from the below