Business Intelligence Engineer

Gurugram, HR, India

Cint

Discover the power of Cint Exchange, the largest online marketplace. Join Cint to revolutionize your market research experience.

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Company Description

Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours.

We are feeding the world’s curiosity!

 

Job Description

We are seeking a skilled and driven Business Intelligence Engineer to join our data team in India. In this role, you will collaborate with cross-functional teams to design, build, and maintain scalable data solutions that drive business insights and decision-making. This is a great opportunity to work on complex data challenges, contribute to infrastructure improvements, and help shape the future of BI within our organization.
 

Responsibilities

  • Collaborate with business and technical teams to gather and understand data requirements

  • Design, develop, test, and deploy robust business intelligence solutions

  • Define and document data models, structures, and data flows

  • Ensure data quality, completeness, and consistency across systems

  • Contribute to the growth and scalability of our data infrastructure

  • Perform troubleshooting and provide support for existing BI tools and systems

  • Participate in code reviews and promote best practices within the team

  • Provide 24/7 production support as part of the team’s on-call rotation

  • Work effectively across multiple time zones with minimal supervision

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or equivalent work experience
  • 3+ years of experience in business intelligence, data engineering, or data warehousing

  • Strong proficiency in Python

  • Advanced SQL skills including complex queries and performance tuning

  • Hands-on experience with Cloud technologies such as AWS and Snowflake

  • Experience integrating and processing large volumes of structured and unstructured data from multiple sources

  • Excellent analytical, problem-solving, and data design skills

  • Ability to work collaboratively in a fast-paced, team-oriented environment

 

Preferred Qualifications

  • Experience with star schema design including fact tables, grain levels, and slowly changing dimensions (SCDs)

  • Knowledge of multiple database programming languages and both relational and columnar database systems

  • Familiarity with the Microsoft BI Stack (SSRS, Power BI, Azure)

  • Experience with Matillion ,  Databricks and PySpark

  • Experience with CI/CD pipelines and Infrastructure as Code (IaC) tools such as Terraform

Additional Information

#LI-PU1
#LI-Remote

Our Values

Collaboration is our superpower

  • We uncover rich perspectives across the world
  • Success happens together
  • We deliver across borders.

Innovation is in our blood

  • We’re pioneers in our industry
  • Our curiosity is insatiable
  • We bring the best ideas to life.

We do what we say

  • We’re accountable for our work and actions
  • Excellence comes as standard
  • We’re open, honest and kind, always.

We are caring

  • We learn from each other’s experiences
  • Stop and listen; every opinion matters
  • We embrace diversity, equity and inclusion.

 

More About Cint

In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries.

 

Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure Business Intelligence CI/CD Computer Science Databricks Data quality Data Warehousing Engineering Matillion Pipelines Power BI PySpark Python Research Snowflake SQL Survey data Terraform Unstructured data

Regions: Remote/Anywhere Asia/Pacific
Country: India

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