DescriptionJob Title: SQL Programmer (Data Analyst) FSS
Location: Indore Madhya Pradesh India
Work Mode: Onsite (with rotational shifts)
Experience: 35 years (minimum 3 years of hands-on SQL development)
Employment Type: Full-time
Shift Details:
- Rotational Shifts (5 shifts) covering business and support hours including early morning general evening and night rotations.
- Flexibility to swap or adjust shifts per process requirements and SLAs.
About the Role:
Were looking for a SQL Programmer to support the Financial Shared Services (FSS) process. You will design optimize and maintain database objects build robust queries and procedures and collaborate with cross-functional teams to ensure the accuracy timeliness and reliability of financial data pipelines and reporting. This role is critical to ensuring high-quality data compliant operations and continuous performance improvements in a high-availability environment.
Key Responsibilities:
- Database Development: Design and implement SQL queries stored procedures functions views triggers and ETL routines to support FSS use cases (AP/AR GL reconciliations settlements aging audit trails).
- Performance Tuning: Analyze execution plans refactor queries optimize indexes/partitions and resolve bottlenecks to meet SLAs in rotational shift windows.
- Data Integrity & Governance: Implement validations constraints auditing frameworks and error handling to ensure completeness and accuracy of financial data.
- ETL & Pipelines: Build and maintain batch/near real-time data ingestion and transformation jobs (SSIS/PL SQL scripts or equivalent) including scheduling monitoring and recovery steps.
- Snowflake Integration: Develop and optimize queries for Snowflake-based data warehouses; ensure efficient data loading and transformation for analytics.
- AS400 & SAP Data Handling: Work with AS400 and SAP systems to extract transform and validate financial data for downstream processes and reporting.
- Reporting & Analytics Support: Deliver data marts views and optimized datasets for BI tools (Power BI/SSRS/Tableau) ensuring semantic consistency.
- Incident & Production Support: Triage and resolve data/process incidents across shifts; document RCA; drive preventive actions and automation.
- Documentation & Standards: Maintain technical specs data dictionaries SOPs service runbooks and adhere to coding/review standards.
- Stakeholder Collaboration: Work closely with FSS operations finance QA and platform teams to translate business rules into performant SQL solutions.
- Compliance & Security: Follow access controls data privacy guidelines and audit requirements relevant to FSS operations.
- Continuous Improvement: Propose and implement automations reusable components and best practices to reduce manual effort and improve reliability.
Required Skills & Qualifications:
- Strong SQL expertise (advanced joins window functions CTEs dynamic SQL error handling).
- Hands-on with one or more: T-SQL (MS SQL Server) PL/SQL (Oracle) MySQL/PostgreSQL.
- Performance tuning experience (indexing partitioning statistics query plan analysis).
- Experience building and supporting ETL jobs (e.g. SSIS SQL native scripts schedulers).
- Familiarity with financial processes/data in FSS (vendor/customer ledgers payments reconciliations).
- Experience with Snowflake for data warehousing and analytics.
- Exposure to AS400 and SAP systems for financial data extraction and validation.
- Experience with production support and incident management in rotational shifts.
- Proficiency with version control (Git) and ticketing/ITSM tools (Jira/ServiceNow).
- Strong problem-solving documentation and communication skills.
- Bachelors degree in computer science/IT/Engineering or equivalent practical experience.
Good to Have (Preferred):
- Exposure to data warehousing concepts (star/snowflake schema slowly changing dimensions).
- Experience with BI tools (Power BI SSRS Tableau) and building optimized data sources.
- Knowledge of schedulers (SQL Agent/Control M/Autosys) and job orchestration.
- Basics of cloud databases (Azure SQL AWS RDS/Redshift GCP BigQuery) or Python for data tasks.
- Experience in audit/compliance frameworks relevant to finance shared services.
- Familiarity with RCA observability tools (query store performance monitors).
Required Experience:
IC
DescriptionJob Title: SQL Programmer (Data Analyst) FSSLocation: Indore Madhya Pradesh IndiaWork Mode: Onsite (with rotational shifts)Experience: 35 years (minimum 3 years of hands-on SQL development)Employment Type: Full-timeShift Details:Rotational Shifts (5 shifts) covering business and support ...
DescriptionJob Title: SQL Programmer (Data Analyst) FSS
Location: Indore Madhya Pradesh India
Work Mode: Onsite (with rotational shifts)
Experience: 35 years (minimum 3 years of hands-on SQL development)
Employment Type: Full-time
Shift Details:
- Rotational Shifts (5 shifts) covering business and support hours including early morning general evening and night rotations.
- Flexibility to swap or adjust shifts per process requirements and SLAs.
About the Role:
Were looking for a SQL Programmer to support the Financial Shared Services (FSS) process. You will design optimize and maintain database objects build robust queries and procedures and collaborate with cross-functional teams to ensure the accuracy timeliness and reliability of financial data pipelines and reporting. This role is critical to ensuring high-quality data compliant operations and continuous performance improvements in a high-availability environment.
Key Responsibilities:
- Database Development: Design and implement SQL queries stored procedures functions views triggers and ETL routines to support FSS use cases (AP/AR GL reconciliations settlements aging audit trails).
- Performance Tuning: Analyze execution plans refactor queries optimize indexes/partitions and resolve bottlenecks to meet SLAs in rotational shift windows.
- Data Integrity & Governance: Implement validations constraints auditing frameworks and error handling to ensure completeness and accuracy of financial data.
- ETL & Pipelines: Build and maintain batch/near real-time data ingestion and transformation jobs (SSIS/PL SQL scripts or equivalent) including scheduling monitoring and recovery steps.
- Snowflake Integration: Develop and optimize queries for Snowflake-based data warehouses; ensure efficient data loading and transformation for analytics.
- AS400 & SAP Data Handling: Work with AS400 and SAP systems to extract transform and validate financial data for downstream processes and reporting.
- Reporting & Analytics Support: Deliver data marts views and optimized datasets for BI tools (Power BI/SSRS/Tableau) ensuring semantic consistency.
- Incident & Production Support: Triage and resolve data/process incidents across shifts; document RCA; drive preventive actions and automation.
- Documentation & Standards: Maintain technical specs data dictionaries SOPs service runbooks and adhere to coding/review standards.
- Stakeholder Collaboration: Work closely with FSS operations finance QA and platform teams to translate business rules into performant SQL solutions.
- Compliance & Security: Follow access controls data privacy guidelines and audit requirements relevant to FSS operations.
- Continuous Improvement: Propose and implement automations reusable components and best practices to reduce manual effort and improve reliability.
Required Skills & Qualifications:
- Strong SQL expertise (advanced joins window functions CTEs dynamic SQL error handling).
- Hands-on with one or more: T-SQL (MS SQL Server) PL/SQL (Oracle) MySQL/PostgreSQL.
- Performance tuning experience (indexing partitioning statistics query plan analysis).
- Experience building and supporting ETL jobs (e.g. SSIS SQL native scripts schedulers).
- Familiarity with financial processes/data in FSS (vendor/customer ledgers payments reconciliations).
- Experience with Snowflake for data warehousing and analytics.
- Exposure to AS400 and SAP systems for financial data extraction and validation.
- Experience with production support and incident management in rotational shifts.
- Proficiency with version control (Git) and ticketing/ITSM tools (Jira/ServiceNow).
- Strong problem-solving documentation and communication skills.
- Bachelors degree in computer science/IT/Engineering or equivalent practical experience.
Good to Have (Preferred):
- Exposure to data warehousing concepts (star/snowflake schema slowly changing dimensions).
- Experience with BI tools (Power BI SSRS Tableau) and building optimized data sources.
- Knowledge of schedulers (SQL Agent/Control M/Autosys) and job orchestration.
- Basics of cloud databases (Azure SQL AWS RDS/Redshift GCP BigQuery) or Python for data tasks.
- Experience in audit/compliance frameworks relevant to finance shared services.
- Familiarity with RCA observability tools (query store performance monitors).
Required Experience:
IC
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