Data Engineer || ETL, Snowflake and azure Datafactory

Job Description

Design, develop, and maintain data pipelines in Snowflake. Perform data transformations, mappings, and scheduling of ETL processes. Set up and manage dbt models to ensure data quality and consistency. Monitor and troubleshoot data jobs to ensure seamless operation. Collaborate with data analysts and engineers to optimize data workflows. Implement best practices for data storage, retrieval, and security. Tech Stack - AWS Big Data Stack Expertise in ETL, SQL, Python and AWS tools like Redshift,S3, Glue, Data pipeline, Scala, Spark, Lambda is a must. Good to have knowledge on Glue Workflows, Step Functions, Quick sight, Athena, Terraform and Dockers. Responsibilities -Assists in the analysis, design and development of a roadmap, design pattern, and implementation based upon a current vs. future state from a architecture viewpoint. Participates in the data related technical and business discussions relative to future serverless architecture. Responsible for working with our Enterprise customers and migrate data into Cloud. Set up scalable ETL process to move data into Cloud warehouse. Deep understanding in Data Warehousing, Dimensional Modelling, ETL Architect, Data Conversion/Transformation, Database Design, Data Warehouse Optimization, Data Mart Development etc. .ETL, SSIS, SSAS TSQL Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote