Lead I - Data Engineering- Azure

• *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 \- Strong 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 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 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.