Senior Data Engineer

Kuda

United States

United States

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Über

divh2Senior Data Engineer/h2pKuda is a money app for Africans on a mission to make financial services accessible, affordable and rewarding for every African on the planet. Were a tribe of passionate and diverse people who dreamed of building an inclusive money app that Africans would love so its only right that we ended up with the name Kuda which means love in Shona, a language spoken in the southern part of Africa. Were giving Africans around the world a better alternative to traditional finance by delivering money transfers, smart budgeting and instant access to credit through digital devices. Weve raised over $90 million from some of the worlds most respected institutional investors, and were rolling out our game-changing services globally from our offices in Nigeria, South Africa, and the UK./ppRole Overview/ppWe are expanding our reach and seeking a visionary Senior Data Engineer to spearhead our data engineering efforts, driving innovation and growth. With a passion for data-driven decision-making, you will play a pivotal role in shaping the future of banking for millions./ppRoles and Responsibilities/pulliDesign, develop, and optimise large-scale data ingestion, transformation, and processing pipelines for structured, semi-structured, and unstructured data./liliLead the integration of multi-cloud and hybrid data platforms (e.g., Azure SQL, Google BigQuery, on-premises SQL Server)./liliDefine and enforce data architecture standards to ensure scalability, security, and optimal performance./liliLeverage Dataform to manage SQL-based transformations, version control, testing, and deployment of analytics datasets in BigQuery./liliIntroduce and manage real-time streaming solutions (e.g., Kafka, Pub/Sub, or Dataflow) in conjunction with batch data pipelines./liliData Quality Governance/liliEstablish data quality frameworks with automated validation, anomaly detection, and reconciliation checks./liliCollaborate with Data Governance teams to maintain data catalogues metadata management, and lineage tracking./liliImplement security, privacy, and compliance standards (such as GDPR, NDPR, and ISO 27001) within data pipelines./liliMentor junior and mid-level data engineers, providing technical guidance and career development support./liliPartner with Data Science and BI teams to deliver data products for predictive modelling, experimentation, and self-service analytics./liliAct as a subject matter expert in cross-functional projects, advising on technical trade-offs and best practices./liliResearch and adopt emerging data engineering technologies and methodologies./liliDrive automation in data workflows to reduce manual intervention and operational risk./liliOptimise data storage and compute costs through partitioning, clustering, and workload management./li/ul/div

United States

Sprachkenntnisse

English

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