drjobs Software Engineer (data engineer - Python, Spark, Databricks)

Software Engineer (data engineer - Python, Spark, Databricks)

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1 Vacancy
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Job Location drjobs

Chennai - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

  • Responsible to assemble large complex sets of data that meet nonfunctional and functional business requirements. 
  • Responsible to identify design and implement internal process improvements including redesigning infrastructure for greater scalability optimizing data delivery and automating manual processes. 
  • Building required infrastructure for optimal extraction transformation and loading of data from various data sources using Azure Databricks and SQL technologies 
  • Responsible for the transformation of conceptual algorithms from R&D into efficient production ready data developer must have a strong mathematical background in order to be able to document and maintain the code 
  • Responsible for integrating finished models into larger data processes using UNIX scripting languages such as ksh Python Spark Scala etc.  
  • Produce and maintain documentation for released data sets new programs shared utilities or static data.  This must be done within department standards 
  • Ensure quality deliverables to clients by following existing quality processes manually calculating comparison data developing statistical pass/fail testing and visually inspecting data for reasonableness:  the requirement is ontime with zero defects 

Qualifications :

Education/Training 

  • B.E./. with a major in Computer Science BIS CIS Electrical Engineering Operations Research or some other technical field.  
  • Course work or experience in Numerical Analysis Mathematics or Statistics is a plus

Hard Skills 

  • Proven experience working as a data engineer 
  • Highly proficient in using the spark framework (python)
  • Extensive knowledge of Data Warehousing concepts strategies methodologies. 
  • Programming experience in Python SQL 
  • Direct experience of building data pipelines using Apache Spark (preferably in Databricks) Airflow. 
  • Hands on experience designing and delivering solutions using Azure including Azure Storage Azure SQL Data Warehouse Azure Data Lake   

Experience 

  • Minimum 3  6 year of experience as Data engineer 
  • Experience modeling or manipulating large amounts of data is a plus 
  • Experience with Demographic Retail business is a plus 


Additional Information :

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • EmployeeAssistanceProgram (EAP)

About NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023 NIQ combined with GfK bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insightsdelivered with advanced analytics through stateoftheart platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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Our commitment to Diversity Equity and Inclusion

NIQ is committed to reflecting the diversity of the clients communities and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce measurement and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative ActionEmployer making decisions without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability status age marital status protected veteran status or any other protected class. Our global nondiscrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:  Work :

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Employment Type :

Fulltime

Employment Type

Full-time

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