We are looking for a Data Engineer to build and optimize real-time financial data pipelines, ensuring seamless data flow and high availability. This role requires expertise in ETL development, data integrity, and scalable infrastructure, with a strong focus on performance and reliability.

Responsibilities:

• Design, develop, and maintain ETL pipelines for real-time financial data ingestion.
• Ensure data consistency, integrity, and accuracy across multiple systems.
• Optimize data lakes and warehouses to support high-performance analytical workloads.
• Work with big data tools and cloud technologies to scale data infrastructure.

Skills, Qualifications, and Experience:

• 3+ years of experience in data engineering with expertise in AWS, Kafka, and PostgreSQL.
• Strong programming skills in Python/Scala and SQL.
• Experience with big data tools such as Apache Spark, Snowflake, or similar technologies.
• Knowledge of data governance, security, and compliance best practices.

Leadership Principles:

• Attention to Detail – Prioritize data integrity and quality in every process.
• Scalability – Design systems that grow with the business and handle increasing data volumes.
• Collaboration – Work cross-functionally with engineering, analytics, and product teams to drive data-driven decisions.
• Why Join Us?Work on real-time financial data with cutting-edge technologies.
• Collaborate with a high-performing team that values data-driven innovation.
• Be part of an environment that encourages growth, learning, and technical excellence.

If you are passionate about building scalable data systems and working in a fast-paced financial environment, we’d love to hear from you!