Senior Data Engineer

Job summary

The Senior Data Engineer is responsible for designing, developing, and maintaining scalable data platforms and pipelines that support Open Finance products and services. This role involves collaboration with various teams to deliver high-quality data solutions that drive business insights and customer experiences.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Strong familiarity with BI and analytics tools such as Tableau, PowerBI, and Databricks.
• Advanced technical expertise in SQL, Python, Spark, Kafka, and Databricks.
• Deep experience with enterprise and cloud-based data platforms, including Snowflake.
• Experience with ETL/ELT pipelines and data integration frameworks.
• Knowledge of data governance, security, and regulatory compliance.

Responsibilities

• Design and maintain scalable data pipelines and ETL/ELT processes.
• Collaborate with Product and Engineering teams to align analytics infrastructure with business priorities.
• Ensure high standards of data quality, security, and performance.
• Participate in technical design and code reviews.
• Create and maintain technical documentation and operational runbooks.
• Support deployment and monitoring of production data solutions.
• Mentor junior engineers and contribute to engineering best practices.

Skills

• Strong knowledge of data modeling and scalable data architecture patterns.
• Experience with dbt/DBT Cloud for data transformation and quality testing.
• Familiarity with AI/ML and advanced analytics initiatives.

Tools

• BI tools: Tableau, PowerBI, Databricks.
• Programming languages: SQL, Python.
• Data platforms: Snowflake, Databricks.