Sr. Data Engineer- INTL India

• 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

• 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

Pay Rate: $10.00-$14.00 an hour depending on skills and experience