Data Engineer -INT'L India

Insight Global
Austin, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Austin, United States of America

Tech stack

Artificial Intelligence
Cloud Database
Continuous Integration
Information Engineering
ETL
Data Transformation
Data Warehousing
Distributed Computing Environment
Power BI
SQL Databases
Scripting (Bash/Python/Go/Ruby)
Snowflake
Zapier
Data Management
Data Pipelines
Api Management

Job description

A customer of Insight Global is looking to hire a Data Engineer to come onboard! This individual will support a global data and architecture team focused on maintaining and optimizing a cloud-based data ecosystem. The role centers on production support, including managing Snowflake data pipelines, troubleshooting integrations, and ensuring consistent data transformations and reporting workflows. The ideal candidate will work closely with cross-functional teams and must be comfortable collaborating in a distributed environment with late evening IST overlap with US stakeholders. This person will also: * Provide production support for data pipelines and workflows within Snowflake

  • Monitor and maintain data integrations using tools such as Workato

  • Troubleshoot data transformation issues and ensure data accuracy across systems

  • Write and maintain Python scripts for automation and pipeline support

  • Manage API integrations and resolve data connectivity issues

  • Optimize SQL queries and support reporting/dashboarding needs

  • Collaborate with US-based stakeholders during overlapping hours for issue resolution

  • Support CI/CD pipeline processes related to data engineering workflows

Requirements

  • 5+ years of experience in data engineering

  • 3+ years of hands-on experience with Snowflake (data warehouse management, transformations)

  • Strong experience with SQL (advanced querying, optimization)

  • Experience building and maintaining data transformations (ETL/ELT pipelines)

  • Experience with Workato or similar integration platform

  • Proficiency in Python scripting for automation and pipeline support

  • Experience with CI/CD pipelines in a data engineering environment

  • Solid understanding of data warehouse concepts and API integration AI exposure and experience

MCP experience

PowerBI - reporting

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