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# Sr. Data Engineer- INTL India

- **Company:** Insight Global
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $20,800.0 - $29,120.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Mobile Application Development, Cloud Computing, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, DevOps, Python (Programming Language), Performance Tuning, Power BI, SQL Databases, Tableau (Software), Data Processing, Data Ingestion, Snowflake, Git, Pyspark, Data Lineage, Tools for Reporting, Data Pipelines
- **Published:** September 1, 2026
- **Apply:** https://dejobs.org/x/x/B6A5E2B242A54538A9FB71D7A1C56D02/job/

## About the Role

* 4-7 years of total experience in Data engineering and big data pipeline development

 * Demonstrated experience in Snowflake and DBT

 * Experience with big data processing frameworks and modern data architecture principles

 * Advanced proficiency in SQL, Python, and PySpark for scalable data processing and transformation

 * Hands-on experience in building end-to-end ETL/ELT pipelines using DBT.

 * Strong grasp of data warehousing, lakehouse architecture, and modern analytics on cloud platforms

 * Hands-on experience with large-scale data platforms and performance tuning for high-volume data pipelines

 * Well-versed in DevOps practices, Git, and CI/CD pipelines for automating data engineering workflows

 * Strong understanding of modern data architecture and governance frameworks in a cloud environment * Proficiency in Tableau and BI tools with experience in building scalable dashboards and optimizing data models

 * Basic knowledge of SAP data models

 * Ability to independently lead and deliver end-to-end data engineering projects with minimal supervision

## Description

* Design and implement scalable, secure, and high-performance data engineering frameworks

 * Build and maintain ETL/ELT pipelines to support data ingestion, transformation, and integration

 * Leverage Snowflake features (Snowpipe, Streams & Tasks, Native Apps) and DBT for building scalable, enterprise-grade data solutions across ingestion, transformation, and orchestration

 * Optimize Synapse SQL Dedicated Pools to enhance BI performance

 * Build data pipelines that seamlessly connect to reporting platforms such as Tableau and Power BI, enabling interactive and timely business insights

 * Ensure data accuracy and integrity through validation checks, lineage tracking, and quality monitoring

 * Tune workflows for performance and cost-efficiency at scale


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