About the job
Are you looking for a new career challenge? With LTIMindtree, are you ready to embark on a data-driven career? Working for global leading manufacturing client for providing an engaging product experience through best-in-class PIM implementation and building rich, relevant, and trusted product information across channels and digital touchpoints so their end customers can make an informed purchase decision – will surely be a fulfilling experience.
Location : Pan India
E-mail : sujatha.getari@ltimindtree.com
I.Balaji@ltimindtree.com
Gajula.Ramu@ltimindtree.com
Diksha.Chauhan2@ltimindtree.com
Shivalila.Yantettinawar@ltimindtree.com
Responsibilities
Develop scalable pipelines to efficiently process transform data using Spark
Design and develop a scalable and robust framework for generating PDF reports using Python Spark
Utilize Snowflake Spark SQL to perform aggregations on high volume of data
Develop Stored Procedures Views Indexes Triggers and Functions in Snowflake Database to maintain data and share with downstream applications in form of APIs
Should use Snowflake features Streams Tasks Snowpipes etc wherever needed in the development flow
Leverage Azure Databricks and Datalake for data processing and storage
Develop APIs using Pythons Flask framework to support front end applications
Collaborate with Architects and Business stakeholders to understand reporting requirements
Maintain and improve existing reporting pipelines and infrastructure
Qualifications
Proven experience as a Data Engineer with a strong understanding of data pipelines and ETL processes
Proficiency in Python with experience in data manipulation libraries such as Pandas and Numpy
Experience with SQL Snowflake Spark for data querying and aggregations
Familiarity with Azure cloud services such as Data Factory Databricks and Datalake
Experience developing APIs using frameworks like Flask is a plus
Excellent communication and collaboration skills
Ability to work independently and manage multiple tasks effectively
Mandatory Skills : Python, SQL, Spark, Azure Data Factory, Azure Datalake, Azure Databricks
Azure Service Bus and Azure Event hubs
Why join us?
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Let’s build something great together
Data Engineer • Bangalore Urban, Karnataka, India