Data Engineer at Zedcrest Capital Limited

JOB SUMMARY

We are seeking an experienced Senior Data Engineer to architect and build our data infrastructure supporting analytics, machine learning, and real-time processing across our fintech platform. This role will be instrumental in designing scalable, cloud-agnostic solutions that handle financial data with the highest standards of accuracy, security, and compliance.

RESPONSIBILITIES

• Architect and build scalable data infrastructure across multi-cloud environments (AWS, GCP, Azure)
• Design and maintain ETL/ELT pipelines processing high-volume financial data with strict accuracy requirements
• Implement real-time streaming pipelines for fraud detection, transaction monitoring, and event-driven workflows
• Establish data governance frameworks ensuring compliance with financial regulations (SOC2, PCI-DSS, GDPR)
• Build and optimize data warehouses supporting analytics, ML, and business intelligence
• Mentor engineers and drive best practices for data quality, security, and performance
• Collaborate with data scientists, analysts, and product teams to deliver data solutions

REQUIREMENTS

• 5+ years in data engineering with 2+ years in senior/lead capacity
• Proven experience with financial data systems and regulatory compliance (PCI-DSS, SOC2)
• Multi-cloud architecture experience (AWS, GCP, or Azure)
• Expert SQL and data modeling across multiple databases (PostgreSQL, Snowflake, Redshift, BigQuery)
• Strong Python and/or Dotnet/Java/Scala programming
• Distributed processing frameworks (Spark, Flink, Beam)
• Streaming technologies (Kafka, Kinesis, Pub/Sub)
• Orchestration tools (Airflow, Prefect, Dagster)
• Modern data stack (dbt, Fivetran, data observability tools)
• Track record mentoring engineers and leading technical projects
• Strong communication skills with technical and non-technical stakeholders
• Strategic thinking for long-term scalability and architecture decisions