Data Engineer at Flutterwave

 The role: 

 Are you an avid learner, constantly looking to improve and innovate? We are seeking a highly skilled and experienced Data Engineer to partner with in driving our data strategy. You’ll play a key role in driving our journey towards becoming a fully data-driven organization and embedding a data-first culture across the business.

Principal Duties and Responsibilities:

• Design and build high-performance, secure, and scalable data pipelines to support data science projects following software engineering best practices.
• Curate, wrangle, prepare data, and feature engineering to be used in machine learning models
• Design and develop the data and analytics platform selecting the right technologies for each problem at hand (big-data stack, SQL, no-SQL, etc.)
• Build a modular pipeline to construct features and modeling tables.
• Build a sense of trust and rapport that creates a comfortable & effective workplace and experience in working as part of an agile squad
• Work with the Data Analytics and Science team to understand the business needs and build impactful analytics solutions.
• Coordinate and collaborate with the Data Analytics team & other engineering teams to align on our roadmap

Competency and Skill Requirement:

• Bachelor’s degree in computer engineering or related field
• 4+ years’ experience in a data role (Data Engineer, Data Analyst, Analytics Engineer, etc.)
• 2+ years of hands-on experience building data pipelines in production and the ability to work across structured, semi-structured, and unstructured data.
• Hands-on experience implementing ETL (or ELT) best practices at scale .2+ years of experience in ML pipeline for streaming/batch workflow.
• Hands-on knowledge and experience in working with the modern data stack and cloud data platforms (Snowflake, BigQuery, Redshift, DBT)
• Hands-on knowledge and experience with orchestration tools (Airflow, Prefect, or Dagster)
• Professional experience using Python for data processing, SQL, Git (as source code versioning and CI/CD), and Apache Kafka.
• Good understanding of Data modeling and Data Architecture.
• Working experience with data governance tools.
• Exceptional communication skills and ability to support both technical and non-technical stakeholders.
• Natural ability to manage multiple initiatives and clients.
• Authorization to work in the country without sponsorship.