AWS Data Engineer with Redshift, Lambda, Glue expertise
- Bangalore, Karnataka
- Permanent
- Full-time
Years of Experience: 2~5 yearsRoles and responsibilitiesThe day-to-day work of a junior-to-mid AWS data engineer involves a mix of development, monitoring, and collaboration.Pipeline development: Designing, building, and maintaining robust and scalable ETL/ELT (Extract, Transform, Load) pipelines on AWS.Managing and optimizing cloud-based data warehouses like Amazon Redshift to support business intelligence and analytics.Implementing validation and cleansing techniques to ensure data accuracy and reliability throughout the pipeline.Managing data storage (e.g., S3), transformation services (e.g., Glue), and orchestration tools (e.g., Airflow/MWAA).Working closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver reliable data solutions.Monitoring and tuning data workflows and database queries to ensure fast and efficient processing.Creating clear and comprehensive documentation of data processes, infrastructure, and technical specifications.Skills:Required Skills - AWS, Redshift, Lambda, Glue, S3, SQL, Python, Pyspark, Step functionLooking for immediate joinersAbout Company:Welcome to Tredence! Since our founding in 2013, we have been dedicated to transforming data into actionable insights, helping over 50 Fortune 500 clients win in their respective industries. With our headquarters in San Jose and a presence in 5 countries, our mission is to be the world’s most indispensable analytics partner. At Tredence, we blend deep domain expertise with advanced AI and data science to drive unparalleled business value. We are excited to have you join us on this innovative journey.