Insight Global Technologies
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Visakhapatnam · On-site · 4-7 Yrs · 5 days ago
Business consulting · 1001 to 5000 Employees · Atlanta, US
Insight Global isn’t just a staffing company. We’re a company that cares for others. It might sound lofty, but it's the idea that gets us up every day, determined to make it true. Insight Global is a company that people can anchor to in moments of triumph, struggle, and every time in between. Whoever you are and wherever you come from, you matter to us and we have your back. Whether it’s finding the right candidate for a job or seamlessly managing a project end to end, our conviction and commitment to our consultants and clients runs deep. With 60 field offices across the US and Canada, putting to work over 50,000 Consultants annually, we believe; together, anything is possible.
What employees say
+ Environment is good and you get to learn a lot
− not good for long run as you will get bores
More reviews on the company profile.
Interview experience · Full Stack Developer
Was easy and got selected , offering 26 lacs fixed , there is no information about the company’s policies , wanted to know reviews about the company as the CFC is tempting but I also have other offers from big MNCs so I
Average difficulty · Gurgaon, Haryana · 19 reports
More interview insightsJob description
Overview
Insight Global is seeking an experienced Analytics Engineer / Data Engineer to support a large-scale data transformation and enablement initiative.
Responsibilities
- Design, develop, and maintain data transformation processes within Snowflake
- Analyze and reconcile data discrepancies across multiple source systems
- Develop and optimize complex SQL queries to support business requirements
- Define and document business logic, data definitions, and transformation rules
- Collaborate with stakeholders and end users to gather requirements and deliver solutions
- Automate data validation, reconciliation, and quality control processes
- Ensure data accuracy, integrity, and consistency within the analytics setting
- Support enterprise transformation initiatives by enabling trusted, scalable reporting datasets
Qualifications
- 4+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or a related field
- Strong hands-on experie
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Job application FAQ
Last updated 15 September 2026
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