Description

Design and implement scalable data engineering solutions to support distribution, sales enablement, and investment management analytics.

This role is hybrid.

Responsibilities

• Design and implement scalable data processing pipelines using Azure Data Factory and Snowflake.
• Develop end-to-end data ingestion and transformation solutions optimized for performance.
• Build an aggregate layer to support reporting and analytical needs for investment management processes.
• Write SQL and stored procedures to support dashboarding and analytics.
• Identify and resolve data anomalies through root cause analysis to ensure high data quality.

Required Skills

• 5+ years of industry experience in data engineering or business intelligence.
• Hands-on experience building data pipelines using Azure Data Factory (ADF) and Snowflake.
• Expertise in SQL, stored procedures, and relational databases.
• Strong knowledge of Data Modelling, Data Profiling, Data Analysis, and Data Quality.
• Experience in the Investment Management or Financial Services domain.
• Proven ability to troubleshoot data issues and optimize pipelines for performance.
• Degree in Engineering, MCA in Computer Science/Information Science, or equivalent.

Preferred Skills

• Familiarity with BI reporting tools like Power BI or Tableau.
• Snowflake Certification.
• Understanding of cloud technologies and agile methodology.

Key Skills

Education

Any Graduate