Data Engineers are responsible for designing, building, and maintaining scalable data infrastructure. They transform raw data into usable formats for analysis and decision-making, supporting business intelligence, compliance, and operational efficiency.
Responsibilities:
Data Management and API integration.
Experience in handling data management requirements, integration platforms, and have expertise with APIs.
Design and implement e data pipelines.
Develop and maintain data architectures and ETL processes.
Ensure data accuracy, consistency, and quality across systems.
Collaborate with data scientists, analysts, and business stakeholders.
Migrate data systems to cloud platforms (e.g., AWS, Snowflake).
Support financial reconciliations and regulatory reporting.
Automate repetitive data tasks and optimize performance.
Monitor and troubleshoot data workflows and infrastructure.
Qualifications:
Matric and a Bachelors degree in Computer Science, Information Technology, or related field.
3 -5 years of experience in data engineering or similar roles.
Experience in financial services or insurance is advantageous.
Skills
Must have Senior Snowflake / Matillion experience/skill.
SQL (advanced), Python, Java.
AWS, Snowflake (Azure or GCP is a plus).
SQL (MySQL, PostgreSQL), NoSQL
*
E
xperience with dimensional modeling and tools like DBT
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