Data Engineer
Description For Data Engineer
Renmoney is seeking a Data Engineer to join their Decision Science team. The role focuses on driving data engineering and transformation efforts across the company. The ideal candidate will work closely with the Database Administrator on the IT Operations team to implement company-wide change and innovation. This position offers an opportunity to work with big data systems, build reliable data pipelines, and contribute to machine learning infrastructure. The role requires expertise in ETL processes, SQL, Python, and various database technologies. Working in a fintech environment, you'll be responsible for maintaining data warehousing capabilities and ensuring data quality across systems. This is an excellent opportunity for a mid-level engineer looking to make a significant impact in a growing financial technology company.
Responsibilities For Data Engineer
- Maintain and extend data warehousing capabilities and improve functionality of existing machine learning infrastructure
- Build new ETLs and extend existing ones, data acquisition & develop data set processes
- Own the architecture, delivery, and evolution of interrelated big data systems
- Work closely with product engineering to ship experiments related to deploying new models
- Create data-quality checks and procedures, tools for tracking and control on data pipelines
- Communicate with IT on data availability, data quality, data acquisition
Requirements For Data Engineer
- Bachelor's degree in computer science or related technical field
- Hands on experience with ETL and SQL (MySQL workbench), python or similar language, Unix/Linux systems
- Minimum of 3 years' experience processing data with SQL, building ETLs and data pipelines
- Expertise in writing performant SQL queries (OLTP and MPP OLAP)
- Experience working with databases (Redshift/Vertica/Snowflake)
- AWS data engineering experience
- Apache Spark experience
- Strong in logic, number and can inference from data
- Good understanding of the Data Science process
- Strong coding experience in Python, ETL and SQL
- Responsible self-controlling skills
Benefits For Data Engineer
- Competitive compensation
- Beautiful work environment
- Flat structure
- Work with amazing people
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