Job Description

Brand Overview Hubbell Incorporated was founded in 1888 and has grown into an international manufacturer of quality electrical, lighting and power solutions with more than 75 brands used and recognized around the world. Our founder, Harvey Hubbell, developed tooling and equipment to serve the growing demand for new assembly and manufacturing machinery during the industrial revolution. An early, and one of many patents awarded, came for the creation of the first practical method to control electricity through the pull chain socket that remains unchanged today. As a market leader in reliable, electrical solutions, we provide more than half a million products delivered through our various business groups. Hubbell is committed to continually innovating solutions that work, transforming old products with new ideas, and ensuring that we Energize, Enlighten and Empower the communities that support us. India Operations BURNDY Technology and Global Business Services Private Limited (HUBBELL INDIA) is a wholly owned subsidiary of Hubbell Inc. Hubbell India provides Engineering Services, Business Solutions and IT Services. Hubbell Engineering located in Ascendas, ITPL,Chennai, is engaged in the business of computer aided design and engineering services. The Hubbell Business Solutions functions at Infopark Kochi, provide superior business intelligence, knowledge services and business process solutions across Hubbell divisions and Corporate. IT Services team is spread across Chennai and Kochi. Hubbell Electrical Products LLP located in Chennai is poised to assist with part and product manufacturing for all Hubbell Business units Posting Address Burndy Technology & Global Business Services Pvt Ltd 13th Floor, Zenith (Phase 3) International Tech Park ,CSIR Road Taramani, Chennai ,Tamil Nadu -600113 Position Overview The Data Engineer will design, develop, and maintain data pipelines to efficiently ingest, process and build enterprise data models in the Microsoft Azure Platform. The successful candidate will ensure the organization\'s cloud and on-premises data is centralized into a single data lake and modelled to support data analysis requirements from all business groups of the organization. The candidate will also lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Duties and Responsibilities Work with Data Architect to design end-end ETL pipelines on Azure Cloud Data Platform adhering to industry standards. Ensure that all designs use pattern framework for codeless solutions. Have extensive hands-on experience with large data sets and design ingestion workloads, build ingestion processes for data lake zones (Bronze, Silver, Gold) using Databricks, Data Factory, Data Pipes into SQL DW / Synapse Provide hands on development of the design, architecture and build of Enterprise Data Models in Microsoft Azure Establish procedures to load and performance tune large data sets required for optimal processing using Databricks, Data Factory, SQL, Python, PySpark Standardize all integration processes and build best practice SQL DW / Synapse models. Identify opportunities to migrate SQL DB databases and on-premises Data Bases into Azure Synapse Establish error control procedures and alerts to ensure end to end processes meet customer SLAs. Ensure data quality between source and target systems. Skills And Experience 3+ years of practical hands-on experience in Microsoft Azure services such as Azure Databricks, Azure Data Factory, Synapse Analytics, Logic Apps etc. 3+ years\' experience in PySpark development. 3+ years\' experience in SQL/SparkSql development. Proficient in writing optimized SQL to handle large data volumes and complex joins. Experience in ingesting data from multiple platforms and consolidating the information into data models that provide actionable insights. Experience with 1 or more SAP S4HANA models is highly desirable. Hands on SAP S4HANA Fiori experience is highly desirable. Strong understanding of integration architecture - both on premise and in the cloud. Knowledge of CLIENT legacy applications and how to integrate them in Azure Data Lake with partitioning and governance. Education Bachelors Degree in Computer Science

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