- Location
- IND PUNE FL7, India
- Type
- Full-time
- Department
- IT
- Closing date
- Today
- Source
- Workday
Description
• Build and support ETL workflows using SSIS to integrate and transform data from multiple sources.
• Develop and enhance SSRS reports and dashboards that support business and operational objectives.
• Collaborate with stakeholders to translate business requirements into scalable data solutions.
• Optimize database performance through query tuning, indexing strategies, and execution plan analysis.
• Ensure data quality, consistency, and integrity across data platforms and reporting environments.
• Monitor database health and proactively resolve performance and reliability issues.
• Troubleshoot data processing, reporting, and integration challenges to minimize business impact.
• Create and maintain technical documentation for database structures, workflows, and reporting logic.
• Support continuous improvement initiatives through automation, process optimization, and best practices.
• Strong proficiency in T-SQL, including complex queries, stored procedures, functions, and performance tuning.
• Experience building and maintaining ETL processes using SQL Server Integration Services (SSIS).
• Experience developing reports and dashboards using SQL Server Reporting Services (SSRS).
• Strong understanding of relational database design, normalization, indexing, and query optimization.
• Experience working with large datasets while ensuring data accuracy and integrity.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to collaborate effectively with technical and non-technical stakeholders.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.
• Knowledge of database monitoring, performance diagnostics, and capacity planning.
• Familiarity with data integration and reporting best practices in financial services environments.
• Experience with scripting or automation tools to improve data operations and efficiency.
• Understanding of data governance, security, and data quality management principles.
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
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