26 Oct
|
Moodys Analytics
|
Gurugram
26 Oct
Moodys Analytics
Gurugram
Job highlights
- Bachelors or Masters degree in computer science,Information Systems,Engineering,MCA,or a related discipline
- Experience designing,developing,and maintaining ETL / ELT pipelines and contemporary data integration solutions
- Solid understanding and practical implementation experience of Medallion Architecture (Bronze,Silver,Gold layers)
Job purpose We are seeking a highly skilled and hands-on Data Engineer with strong expertise in Snowflake, PL/SQL, and contemporary data engineering practices to support investment data platforms and analytics initiatives The role requires designing, developing, and optimizing scalable data solutions while working closely with business and technology stakeholders The ideal candidate will possess deep technical expertise, a strong understanding of financial data, and a passion for learning new technologies and solving complex data challenges
This is a hands-on engineering role with limited people-management responsibilities
Key responsibilities
Design, develop, and maintain scalable data pipelines and data integration solutions using Snowflake and related technologies
Implement and support Medallion Architecture (Bronze, Silver, Gold layers) to enable robust, governed, and high-quality data platforms
Develop, optimize, and troubleshoot complex PL/SQL procedures, packages, queries, and ETL processes
Build and maintain data ingestion, transformation, and orchestration workflows using modern data orchestration tools
Work closely with business stakeholders to understand investment data requirements and translate them into technical solutions
Ensure data quality, integrity, governance, security, and performance across the data ecosystem
Support data modeling, warehousing, reporting, and analytical requirements for investment and financial data platforms
Perform root-cause analysis and resolve data-related issues in a timely manner
Continuously evaluate and adopt new technologies, tools, and best practices to improve platform capabilities
Collaborate with cross-functional teams while remaining actively involved in design, development, testing, and deployment activities
Participate in code reviews, technical documentation, and knowledge-sharing sessions
Work from the clients office location and engage directly with business and technology teams as required
Key competencies
Bachelors or Masters degree in computer science, Information Systems, Engineering, MCA, or a related discipline
Strong hands-on expertise in Snowflake, including data modeling, data transformation, performance tuning, and warehouse optimization
Hands-on experience with dbt (Data Build Tool) for building, testing, documenting, and managing scalable data transformation workflows
Advanced proficiency in SQL and PL/SQL development, query optimization, database performance tuning, and troubleshooting
Solid understanding and practical implementation experience of Medallion Architecture (Bronze, Silver, Gold layers)
Experience designing, developing,
and maintaining ETL/ELT pipelines and modern data integration solutions
Hands-on experience with data orchestration and workflow management tools such as Airflow or equivalent platforms
Solid understanding of data warehousing, dimensional modeling, data quality, and data governance principles
Experience working with large-scale structured and semi-structured datasets in cloud-based data platforms
Willingness to work from the client's office location on a full-time basis and collaborate closely with client stakeholders
Good understanding of investment management, private/public markets, securities, portfolios, holdings, transactions, and reference data
Ability to translate complex business requirements into scalable, maintainable, and high-performance data solutions
Strong analytical, problem-solving, and debugging capabilities
Demonstrated commitment to remaining hands-on and continuously learning emerging technologies and industry best practices
Effective stakeholder engagement and collaboration skills, with the ability to work closely with business and technology teams
Strong verbal and written communication skills in a client-facing environment
Self-driven, accountable, and capable of working independently with minimal supervision
Adaptable and flexible in responding to changing business priorities and evolving project requirements
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Delivery Manager-Snowflake Data Engineer (Gurugram)
🏢 Moodys Analytics
📍 Gurugram