Azure data engineer

We are M&G Global Services Private Limited (formerly known as 10FA India Private Limited, and prior to that Prudential Global Services Private Limited). We are a fully owned subsidiary of the M&G plc group of companies, operating as a Global Capability Centre providing a range of value adding services to the Group since 2003. At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns.

M&G Global Services has rapidly transformed itself into a powerhouse of capability that is playing an important role in M&G plc’s ambition to be the best loved and most successful savings and investments company in the world.

Our diversified service offerings extending from Digital Services (Digital Engineering, AI, Advanced Analytics, RPA, and BI & Insights), Business Transformation, Management Consulting & Strategy, Finance, Actuarial, Quants, Research, Information Technology, Customer Service, Risk & Compliance and Audit provide our people with exciting career growth opportunities. Through our behaviours of telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

To implement data engineering solutions on Enterprise Data Platform using latest technologies available in Azure Cloud space conforming to the best in class design standard & agreed requirements to achieve business objective

Accountabilities/Responsibilities

• Build and operationalize data solutions for business using Azure services in combination with custom solutions – Azure Data Factory, Azure Data Flows, Azure Databricks, Azure Data Lake Gen 2, Azure SQL etc
• Experience in migrating on-premise data warehouses to data platforms on AZURE cloud
• Designing and implementing data engineering, ingestion and transformation functions using ADF, Databricks
• Proficient in Py-Spark
• Experience in building Python based APIs on Azure Function Apps
• Experience on Azure Logic apps
• Experience in Lakehouse/Datawarehouse implementation using modern data platform architecture
• Capacity Planning and Performance Tuning on ADF & Databricks pipelines
• Support data visualization development using Power BI
• Exposure across all the SDLC process, including testing and deployment
• Experience in relational and dimensional modelling, including big data technologies
• Experience in Azure DevOps – Build CI/CD pipelines for ADF, ADLS, Databricks, Azure SQL DB etc
• Experience of working in secured Azure environments using Azure KeyVaults, Service Principals, and Managed Identities
• Understanding of data masking, encryption and other practices used in handling sensitive data
• Ability to interact with Business for requirement gathering and query resolutions
• Working on off shore office based development teams, collaborating within a team environment and participating in typical project lifecycle activities such as requirement analysis, testing and release
• Develop Azure Data skills within the team through knowledge sharing sessions, articles, etc.
• Adherence to organisations Risk & Controls requirements
• Participate in various initiatives/forums/groups and contribute effectively from idea creation to proto-type development. Support Strategic programs
• Good to have knowledge on Apigee (Googles API Management)
  
  

Key Stakeholder Management

Internal

Business Teams

Project Manager

Tech Lead

Data Scientists

External

Knowledge, Skills, Experience & Educational Qualification

Knowledge & Skills:

• Azure Data Factory,
• Azure Data Lake Storage V2
• Azure SQL
• Azure DataBricks
• Pyspark
• Azure DevOps
• Power BI Report
• Confidence & excellent communication
  
  

Experience:

• Overall 6-8 years of experience in Azure Data Engineering
  
  

Educational Qualification:

• Graduate/Post-graduate. Preferably with specialisation in Computer Science, Statistics, Mathematics, Data Science, Engineering or related discipline
  
  

Microsoft Azure certification (good to have)

M&G Behaviours relevant to all roles:

Inspire Others: support and encourage each other, creating an environment where everyone can contribute and succeed

Embrace Change: be open to change, willing to be challenged and able to adapt quickly and imaginatively to new ideas

Deliver Results: focus on performance, set high standards and deliver with energy and determination

Keep it simple: cut through complexity, keep the outcome in mind, keeping your approach simple and adapting your message to every audience

We have a diverse workforce and an inclusive culture at M&G Global Services, regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.