We're thrilled to offer a fantastic opportunity for aspiring Data Engineers to be a part of our Data Analytics Team. As a Data Engineer, you'll be at the forefront of delivering world-class data analytics infrastructure and solutions, utilizing the most sophisticated data processing pipeline for our esteemed customers.Key Responsibilities: Collaborate with Solution Architect, Data Analyst, and Data Scientist to design, implement, and tackle big data warehousing and DataLake challenges on a massive scale, leveraging AWS Big Data services. Focus on automation and optimization for all aspects of DWH/DL maintenance and deployment, with a special emphasis on big data processing, DWH/DL design, and BI self-service. Dive into unique and non-standard business problems, working closely with both technical and business teams, and apply creative problem-solving skills to deliver actionable insights. Key requirements: At least 1 year of experience as a Data Engineer. Bachelor's degree in computer science, Info Systems, Business, or a related field. Experience with one or more query languages (SQL), schema definition languages (e.g., DDL), and scripting languages (Python and Terraform) to build innovative data solutions. Proficiency or first experience in technical architectures, data modeling, infrastructure components, ETL/ELT, reporting/analytic tools, and extracting value from vast datasets. Exposure to distributed system concepts, particularly from a data storage and computing perspective (e.g., data lake architectures). Initial hands-on experience with AWS Big Data Services such as S3, Glue, Athena, Lambda, EMR, RDS, and Redshift. Familiarity with at least one business intelligence reporting tool (Tableau, Quicksight, PowerBI). Basic knowledge of DBA tasks and SQL performance tuning. Originally posted on Himalayas