Data Engineer

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?

• Work in industry leading implementations for Tier-1 clients
• Accelerated career growth and global exposure
• Collaborative, inclusive work environment rooted in innovation
• Exposure to best-in-class automation framework
• Innovation first culture : We embrace automation, AI insights and clean data

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Let’s build something great together