Data Engineer at Renmoney Full Time NEW

Job Title: Data Engineer

Location: Lagos
Employment Type: Full Time

Job Summary

• The data engineer will have the capacity to truly move the needle of success, working closely with the Database Administrator on the IT Operations team, to implement real company-wide change and innovation.
• Our Data Engineer will be essential in driving the data engineering and transformation efforts for Renmoney.

Responsibilities

• 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 which includes defining data label and create appropriate description and data types (general data profiling).
• Own the architecture, delivery, and evolution of interrelated big data systems for the firm and building reliable data pipelines.
• Work closely with product engineering to ship experiments related to deploying new models, customer on-boarding data and journey tracking.
• 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

• 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, and deploying them into production.
• Expertise in writing performant SQL queries (OLTP (Postgres/MySQL) and MPP OLAP)
• Experience working with both (Redshift/Vertica/Snowflake) databases; Platform engineering/ architecture experience; AWS data engineering experience; Apache Spark experience.
• Strong in logic, number and can inference from data rather than assumption based.
• Good understanding of the Data Science process and how to create Model Ready Data.
• Strong coding experience in Python, ETL and SQL (writing stored procedures and data query).
• Enjoy working on improvement team’s data knowledge and sharing data management practices with colleagues.
• Responsible self-controlling skills.

Application Closing Date
Not Specified.