Insight Global
Website:
insightglobal.com
Job details:
Required Skills & Experience
• 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
Nice to Have Skills & Experience
• 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
Job 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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