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3 CustomerTek Jobs

Data Warehouse Engineer

1-4 years

New Delhi

1 vacancy

Data Warehouse Engineer

CustomerTek

posted 8d ago

Job Description

Overview

We re searching for a Data Warehouse Engineer with a proven track record of developing Business Intelligence solutions to drive key outcomes. The role is responsible for different layers of the data hierarchy - including database design, data collection and storage techniques, to a deep understanding of data transformation tools and methodologies, the provisioning and managing of analytical databases, and building infrastructures that bring machine learning capabilities into production. The role is based in India and will operate within the Business Analytics unit under the Business Analytics Global Manager.
Driving exceptional outcomes with purpose-built solutions.
Tek Experts is a tech services and support company focused on delivering specialized and unique solutions for clients. We re problem solvers, engagers, and creative thinkers who always strive to help our customers succeed. Our agile, relationship-based support helps the largest, most innovative enterprises thrive. If you crave problem-solving, finding improvement in process, learning, and working within a diverse global team, youre the fit were looking for. Join our global team of experts and grow your IT career with us.
Tek Experts is part of TeKnowledge where innovation meets purpose. We re transforming the tech landscape globally, delivering advanced technology services, cybersecurity expertise, and unmatched technical skilling, tailored to the unique landscapes of public and private sectors.

Responsibilities

This role will:
  • End to end development of data models, including gathering the data sources, developing ETL processes, and developing front end data model solutions for our business to help our users make smarter decisions.
  • Full responsibility on our DWH including infrastructure, data modeling, audit logging, etc.
  • Building automated validation processes to ensure data integrity.
  • Optimizing processes run-time and solving problems in a scalable manner.
  • Taking full ownership of designing, building and deployment of data products.
  • Collaborating with Backend, Data Science, Data Analysis, and Product teams.

Qualifications

In this role:
  • Bachelor s degree in Information Systems, Industrial Engineering, or equivalent experience is required.
  • Professional fluency in English is essential, both written and spoken.
  • Three or more years of experience in BI solutions development (DWH, ETL) as well as in SQL and ETL tools, SSIS is required.
  • Experience with building automated validation processes to ensure data integrity is considered an advantage.
  • Experience in data modeling, working ETL tools and methodology, as well as with BI reporting tools is required.
  • Strong analytical skills are required.
In this role:
  • Bachelor s degree in Information Systems, Industrial Engineering, or equivalent experience is required.
  • Professional fluency in English is essential, both written and spoken.
  • Three or more years of experience in BI solutions development (DWH, ETL) as well as in SQL and ETL tools, SSIS is required.
  • Experience with building automated validation processes to ensure data integrity is considered an advantage.
  • Experience in data modeling, working ETL tools and methodology, as well as with BI reporting tools is required.
  • Strong analytical skills are required.
This role will:
  • End to end development of data models, including gathering the data sources, developing ETL processes, and developing front end data model solutions for our business to help our users make smarter decisions.
  • Full responsibility on our DWH including infrastructure, data modeling, audit logging, etc.
  • Building automated validation processes to ensure data integrity.
  • Optimizing processes run-time and solving problems in a scalable manner.
  • Taking full ownership of designing, building and deployment of data products.
  • Collaborating with Backend, Data Science, Data Analysis, and Product teams.

Employment Type: Full Time, Permanent

Read full job description

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