Developer Ii | Retail It | Bi

Job Summary

• Join the Retail IT Data Platform and Warehousing Development team in modernising and evolving both our Microsoft SQL Server-based data warehouse and Snowflake-based analytical platform. The role contributes to the development, support, and evolution of data products and operational processes across both environments, while helping establish modern DataOps practices.

Job Responsibilities

• Design, develop, and maintain data pipelines and data products using Snowflake, Microsoft SQL Server and MSSQL Data tools (SSIS, SSRS, SSAS), Python, and Dagster.
• Develop and optimize ELT workloads, stored procedures, data models, and transformation logic to support analytical and operational reporting requirements.
• Build and maintain Dagster assets, schedules, sensors, and orchestration workflows to ensure reliable and observable data processing.
• Design and implement data models for both operational and analytical use cases, applying appropriate warehousing and dimensional modelling techniques.
• Troubleshoot and resolve data quality, pipeline, orchestration, and platform issues across Snowflake and SQL Server environments.
• Analyze and optimize query performance, pipeline execution, warehouse utilization, and storage strategies.
• Develop automated testing, reconciliation, and data validation mechanisms to improve platform reliability and data quality.
• Contribute to CI/CD pipelines, deployment automation, source control standards, and engineering best practices.
• Implement monitoring, alerting, observability, and operational controls to improve platform availability and supportability.
• Collaborate with architects and senior engineers to modernize legacy ETL processes and evolve the team's data platform architecture.
• Conduct code reviews and contribute to technical design discussions, ensuring solutions align with team standards, security requirements, and architectural principles.
• Create and maintain technical documentation, platform runbooks, operational procedures, and support artefacts.
• Investigate emerging technologies and contribute to technical spikes and proof-of-concepts that improve platform capabilities.
• Provide production support for critical data platforms, participating in incident diagnosis, root-cause analysis, and resolution activities

Requirements

• 3-5 years' experience in data engineering, data warehousing, BI development, or a related field.
• Strong SQL skills with experience developing and troubleshooting complex queries.
• Experience building and supporting ETL/ELT pipelines.
• Understanding of dimensional modelling and data warehousing concepts.
• Experience working with large datasets and data integration processes.
• Exposure to cloud platforms such as AWS or Snowflake.
• Experience with Git-based source control and development workflows.
• Understanding of CI/CD concepts and deployment automation.
• Familiarity with Infrastructure-as-Code concepts.
• Experience supporting production data platforms and resolving operational issues.
• Understanding of monitoring, logging, and observability principles.
• Exposure to automated testing and data quality practices.
• Strong troubleshooting and analytical skills.
• Experience with Python, SQL, MSSQL or similar data engineering technologies.
• Understanding of software development lifecycle practices.
• Familiarity with Agile delivery methodologies.

Skills and Competencies

• Attention to detail and quality of work.
• Ability to take initiative and responsibility.
• Strong analytical skills.
• Good communication
• Provide accurate estimates
• Present solutions clearly
• Ability to work well under pressure and meet deadlines without sacrificing quality.

Education

• Degree or diploma in information science or related technical discipline
• Knowledge of financial concepts and terms and interested in attending courses to improve business knowledge
• Financial Services industry experience would be an advantage

Deadline:10th November,2026