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.
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