AWS Data Engineer - ETL/Data Warehousing

Job Description : - Evaluating, developing, maintaining and testing data engineering solutions for Data Lake and advanced analytics projects. - Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources - Distil business requirements and translate into technical solutions for data systems including data warehouses, cubes, marts, lakes, ETL integrations, BI tools or other components. - Creation and support of data pipelines built on AWS technologies including Glue, Redshift, EMR, Kinesis and Athena - Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the AWS platform. - Optimize data integration platform to provide optimal performance under increasing data volumes - Support the data architecture and data governance function to continually expand their capabilities - Experience in development of Solution Architecture for Enterprise Data Lakes (applicable for AM/Manager level candidates) - Should have exposure to client facing roles - Strong communication, inter-personal and team management skills - Hands on experience in working with big data on AWS environment including etc. - Good understanding of AWS components, storage (S3) & compute services (EC2) - Hands on experience in AWS managed services (Redshift, Lambda, Athena) and ETL (Glue). - Experience in migrating data from on-premise sources (e.g. Oracle, API-based, data extracts) into AWS storage (S3) - Experience in setup of data warehouse using Amazon Redshift, creating Redshift clusters and perform data analysis queries - Experience in ETL and data modelling on AWS ecosystem components - AWS Glue, Redshift (ref:hirist.tech)

Location: delhi, IN

Posted Date: 11/27/2024