India Browse · Chennai · Data Engineer
pwc.is
** PwC is seeking a Senior Associate Azure Data Engineer for its Data and Analytics Advisory team in Chennai. The role involves designing and developing data solutions to transform raw data into actionable insights, with a focus on data infrastructure and pipeline development. **
HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED
Collaborate with process engineers, maintenance engineers, product engineers, and factory IT to understand semiconductor production processes and data pipelines
Standard Chartered Bank
Lead through example and build appropriate culture and values, setting expectations for the team
Citi
** Citi is seeking a Senior Data Engineer in Chennai, India, to lead the development of a reporting framework critical for analyzing utilization metrics and automating processes. The ideal candidate should have extensive experience in ETL design, data analytics, and technical leadership, particularly with tools like Python, Spark, and various database technologies. **
ZF Friedrichshafen AG
Be part of our ZF team as Data Engineer and apply now!
AstraZeneca
This role focuses on administering Databricks and Redshift Serverless to ensure reliable, secure, and efficient data platforms for patient outcomes
Capco (Greenhouse/capco)
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry
technovationbrasil
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry
UPS
This role involves designing and developing scalable data pipelines using Azure Data Factory and Azure Databricks to support global supply chain operations
UPS
The role involves designing and implementing robust ETL solutions using IBM InfoSphere DataStage for a Fortune Global 500 organization
Citi
The role involves developing and maintaining scalable data processing solutions using Python and PySpark under senior guidance
Citi
The role involves designing, developing, and delivering ETL solutions using Ab Initio within the Citikyc data solution architecture
AstraZeneca
This role focuses on administering and evolving Databricks and Redshift Serverless to accelerate data insights for patient outcomes
AstraZeneca
This role involves administering and evolving Databricks and Redshift Serverless on AWS to ensure platform stability and efficiency
United Parcel Service
The role involves designing and developing scalable data pipelines using Azure Data Factory and Azure Databricks to support strategic business initiatives
United Parcel Service
This role involves designing and implementing robust ETL solutions to support business intelligence and analytics initiatives at a Fortune Global 500 organization
WPP
WPP is building a standardized, scalable, cloud-agnostic, and AI-ready data platform called Databridge to unify its global data landscape
WPP
WPP is building a standardized, scalable, cloud-agnostic, and AI-ready data platform to unify its fragmented global data landscape
NIQ
Flexible working environment included
NielsenIQ provides the most complete view of consumers and markets worldwide through its proprietary data and analytics platform
Platformscience
Platform Science is an open IoT platform connecting everything that moves within the transportation industry
Platform Science
Platform Science is an open IoT platform connecting fleets and manufacturers to deliver revolutionary supply chain solutions
Platform Science
Platform Science is an open IoT platform connecting everything that moves in the transportation industry
AstraZeneca
You will join a team building a new medical data foundation that powers insights, analytics, and AI covering different regions and medical specialties
AstraZeneca
This role involves building scalable data models and automating the ingestion of manual and external datasets to power insights and AI
AstraZeneca
This role focuses on transforming sophisticated medical data into clear decisions that advance patient progress through scalable data models
