Job Description

About Us Jubilant Ingrevia, a global integrated Life Science products and Innovative Solutions provider serving, Pharmaceutical, Nutrition, Agrochemical, Consumer and Industrial customers with our customised products and solutions that are innovative, cost-effective and conforming to excellent quality standards. Jubilant Ingrevia Limited offers a broad portfolio of high-quality ingredients that find application in a wide range of industries. Jubilant Ingrevia\'s portfolio also extends to custom development and manufacturing for pharmaceutical and agrochemical customers on an exclusive basis. We are driven by the motive to add value to millions of lives through innovations and cutting-edge technology. As a leader in key products we manufacture, we take pride in being a partner of choice for our valued customers. Role Summary Senior Data Engineers will help in developing high performance & high scalability enterpriseapplications using one or more leading cloud platforms across SaaS and PaaS. They will be working closely with the data architects to jointly develop the data architecture and ensure security and maintenance. Their role also involves diagnosis of existing architecture and data maturity and help the organization in identifying gaps and possible solutions. They will also work with data scientists and business leadership to develop data pipelines for model development and productionalization. Their work will involve high level of interface with business heads and corporate leadership. Responsibilities Gather requirements, assess gaps and build roadmaps and architectures Lead teams of 2-3 associate data engineers in the project building and delivery process Explore suitable options, design, and create data pipelines (data lake / data warehouses) for specific analytical solutions Define ETL / ELT based on jointly defined requirements Identify gaps and implement solutions for data security, quality and automation of processes Support maintenance, bug fixing and performance analysis along data pipeline Build and manage cloud data services Education + Technical skills / experience Masters/Bachelor\'s degree in Computer Science, Engineering, Mathematics or Statistics. 6+ years working in the data engineering field Experience in using SQL must have; PL/SQL or T-SQL good to have; Worked with RDBMSs like Teradata, MS SQL Server, or Oracle in production environments Experience with Python must have; R/Scala good to have Limited Experience in using Microsoft Azure/AWS or other leading cloud platforms Experience in maintaining and configuring data engineering and ETL tools (e.g., Informatica, Azure Data Factory, SSIS) Experience with data tools such as Must have- Spark; Good to have: Hive, Hadoop, or Presto Managerial Skills Ability to work well in agile environments in diverse teams with multiple stakeholders Strong project management and organizational skills Ability to effectively communicate complex analytical and technical content Mindset & Behavior High energy and passionate individual who inspires teammates to reach their maximum potential Excited about trying new solutions outside standard approved Willing to adopt an iterative approach; experimental mindset to drive innovation

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