▷ Urgent Search Senior 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 plcs 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 Job TitleSenior Data EngineerGrade2CLevelManager Data AnalyticJob FunctionDigital TransformationJob Sub FunctionAzure Data Engineering DevOps BIReports to2BLocationMumbaiBusiness AreaM G Global ServicesOverall Job PurposeTo 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 objectiveAccountabilities 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 ManagementInternalBusiness TeamsProject ManagerTech LeadData ScientistsExternalKnowledge Skills Experience Educational QualificationKnowledge 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 succeedEmbrace Change be open to change willing to be challenged and able to adapt quickly and imaginatively to new ideasDeliver Results focus on performance set high standards and deliver with energy and determinationKeep it simple cut through complexity keep the outcome in mind keeping your approach simple and adapting your message to every audienceWe 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