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Role description Role & Responsibilities Maintain foundational knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata Supports the acquisition and ingestion of data Articulates technical design and development details to non-technical business partners Elicits, analyzes, and understands business and data requirements to develop complete business solutions under the guidance of senior peers and managers, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata Ensures data is maintained in compliance with enterprise data standards, policies, and guidelines Develops and maintains data models using industry standard modeling tools Develops and maintains ETL jobs using the Bank's standard tools Provides support to the development and testing teams to resolve data issues Supports partners and stakeholders in interpreting and analyzing data Builds effective working relationships to collaborate with peers and partners on personal deliverables Provides data governance and availability support. Supports the QA team with any data loads and data analysis/investigations as part of SIT/UAT/PAT testing Provides post implementation support to the production support team during the warranty period Executes code check-in/ check-out into source code repository as part of source code management Works closely with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environments Is an active participant in the design & architecture reviews of the application Raises service-now requests and works with the change management team to support release management activities Understands data engineering initiatives and capabilities, data governance principles and how they apply across the organization Ensures metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes Our Technology Stack Azure - Azure Databricks, Unity Catalog, Delta Live Tables, Azure Data Factory, Azure Data ASP Connectors - TIBCO, OnPrem SQL, SharePoint, SharedFolders DevOps - Solid Infrastructure and Azure Release Engineer skills Language - Python, PySpark Banking domain experience strongly desired Work Experience Azure Devops - 5+ Years Unity Catalog - 2 Years Azure Data Bricks - 5+ Years Azure Data Factory - 5+ Years Skills data engineering,azure data factory,azure databricks,azure devops, About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the worlds 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 30,000 employees in 30 countries, UST builds for boundless impacttouching billions of lives in the process. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.