Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Thiruvananthapuram · On-site · 5-8 Yrs · Oct 14
Information Technology Support Services · 10000+ Employees · Aliso Viejo, US
What we do: Digital Solutions, Platforms, Engineering, R&D, and Products UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30K+ employees in 30+ countries, UST builds for boundless impact—touching billions of lives in the process.
Hiring: Engineering
What employees say
+ Great work life balance, hybrid work culture, easy to find projects and opportunities, trainings and certifications
− Career growth, employee career development, salary
More reviews on the company profile.
Interview experience · Senior MS SQL DB Administrator
the interview process was very good and we organized. The interviewer was professional and asked relevant question's related to the role. I have good opinion on this company as of now.
Very_difficult difficulty · Chennai · 1,929 reports
More interview insightsJob description
Overview
Senior Azure Data Engineer – Databricks Job Summary
Responsibilities
- Senior Azure Data Engineer – Databricks Job Summary
- We are looking for a Senior Azure Data Engineer with strong hands-on experience in Azure Databricks, Azure Data Factory, Unity Catalog, Azure DevOps, Python, and PySpark.
- The candidate will be responsible for data acquisition and ingestion, ETL development, data modeling, data governance, metadata and lineage management, data quality, testing, CI/CD, deployment, and production support.
- Banking domain experience is strongly desired.
- Maintain foundational knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and production of metadata.
- Support the acquisition and ingestion of data.
- Articulate technical design and development details to non-technical business partners.
- Elicit, analyze, and understand business and data requirements to develop complete business solutions under the guidance of senior peers and managers.
- Develop and maintain data models, including Entity Relationship Diagrams (ERDs) and Dimensional Data Models.
- Develop and maintain ETL jobs using the Bank's standard tools.
- Define and implement business rules, data life-cycle management, governance, lineage, and metadata requirements.
- Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines.
- Develop and maintain data models using industry-standard modeling tools.
- Provide support to development and testing teams to resolve data issues.
- Support partners and stakeholders in interpreting and analyzing data.
- Build effective working relationships and collaborate with peers and partners on deliverables.
- Provide data governance and data availability support.
- Support the QA team with data loads and data analysis/investigations as part of SIT/UAT/PAT testing.
- Provide post-implementation support to the production support team during the warranty period.
- Execute code check-in/check-out into the source code repository as part of source code management.
- Work closely with ITS/ARE teams to support code packaging and deployment (CI/CD) into higher environments.
- Actively participate in design and architecture reviews of the application.
- Raise ServiceNow requests and work with the change management team to support release management activities.
- Understand data engineering initiatives and capabilities, data governance principles, and how they apply across the organization.
- Ensure metadata and data lineage are captured and compatible with enterprise metadata and data management tools and processes.
- Azure Databricks
- Unity Catalog
- Delta Live Tables
- Azure Data Factory
- Azure Data
Qualifications
- Azure Databricks – 5+ Years
- Azure Data Factory – 5+ Years
- Azure DevOps – 5+ Years
- Unity Catalog – 2+ Years
- Strong hands-on experience with Python
- Strong hands-on experience with PySpark
- Experience with ETL
- Experience with data acquisition and ingestion
- Experience with data modeling
- Experience with data profiling and data quality reporting
- Experience with data governance
- Experience with metadata and data lineage
- Experience with data life-cycle management
- Experience supporting SIT/UAT/PAT testing
- Strong Infrastructure and Azure Release Engineer skills
- Experience with CI/CD
- Experience with source code management
- Experience with code packaging and deployment into higher environments
- Experience participating in design and architecture reviews
- Experience with production and post-implementation support
- Experience with ServiceNow requests and release/change management activities
- Ability to communicate technical design and development details to non-technical business partners
- Experience with OnPrem SQL
- Experience with Azure Data Connectors
- Banking domain experience – strongly desired
- Experience with Delta Live Tables
- Experience with TIBCO
- Experience with SharePoint
- Experience with SharedFolders
- Experience using industry-standard data modeling tools
Verify UST for this role
Free PRACTICE for UST adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify UST free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 18 October 2026
- How do I apply for Lead I - Data Engineering- Azure at UST?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. UST may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead I - Data Engineering- Azure role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead I - Data Engineering- Azure remote or on-site in Thiruvananthapuram, Keralam?
- This listing is marked on_site with location Thiruvananthapuram, Keralam. Confirm details on the job description before applying.
- What skills matter for this Lead I - Data Engineering- Azure role at UST?
- This is a lead Lead I - Data Engineering- Azure role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.