Description

You will design and implement scalable data pipelines and ETL/ELT processes for Operational Business Intelligence Marts.

Responsibilities

• Design scalable data pipelines using modern cloud data stack technologies.
• Develop ETL processes, data applications, and pipeline implementations.
• Implement data modeling, process metadata, and observability frameworks.
• Monitor data platforms using technical metadata, pipeline logs, and data lineage.
• Collaborate with cross-functional teams to define observability requirements for SLAs and data quality.

Required Skills

• 5+ years of application development experience using SQL.
• 3+ years of hands-on experience with DBT and Snowflake.
• 3+ years of experience in ETL/ELT pipeline development.
• Experience as a Senior Data Engineer in public cloud environments, preferably Azure.
• Proven experience with cloud-native solutions, Azure DevOps CI/CD tools, and containers.
• Expertise in Data Modeling and data platform monitoring.
• Strong analytical skills for managing pipeline logs and data lineage.
• Background as a Data Analyst or in a similar analytical role.

Preferred Skills

• Strong experience with Airflow.
• Background in banking, capital markets, or financial data.

Key Skills

Education

Any Gradute