Data Engineer

Client is one of the world s leading auto component makers
supplying OEMs Within the automotive industry
it is one of the leading global manufacturers of exterior rearview mirrors
wiring harnesses and polymer modules and has a diversified industry-leading portfolio of auto ancillary products and services that make it a full system solutions provider for its customers across the globe

Qualifications :

• 5 8 Years
• 6-8 years of professional work experience in a relevant field
• Good experience and hands-on with Azure Databricks
  ADF
  delta lake
  
• Experience/ prior knowledge on semi structure data and steaming
  Azure synapse analytics
  data lake
  data warehouse
  
• Hands on experience with Azure Data Lake
  Azure Data Factory
  SQL Data Warehouse
  SQL
  Python
  cosmos db
  
• Proficient in creating Azure Data Factory pipelines for ETL processing; copy activity
  custom Azure development etc
• knowledge on Power bi would be beneficial
  
• Understand business requirements to set functional specifications for reporting applications

Skill set:

• Azure Databricks
  ADF
  SQL
  ETL (Data engineering)

Good to have skills :

• Certification in Azure

Shift:

• 9 AM to 6 PM IST

How to Apply: Interested candidates are encouraged to respond/submit their updated resumes
and for additional job opportunities
please visit Jobs In India VARITE

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About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA
UK
CANADA and INDIA
VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking
Cloud Infrastructure
Hardware and Software
Digital Marketing and Media Solutions
Clinical Diagnostics
Utilities
Gaming and Entertainment
and Financial Services


VARITE is an equal opportunity employer
We celebrate diversity and are committed to creating an inclusive environment for all employees
We do not discriminate on the basis of race
color
religion
sex
sexual orientation
gender identity or expression
national origin
age
marital status
veteran status
or disability status
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