Senior Data Engineer

Sr.Data Engiener-AWS

Chennai (F2F mandatory)

Mandatory skills- DBT,AWS and Snowflake

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

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