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Job Description

Job Summary:

We are seeking an experienced and results-driven Senior BI & Data Warehouse Specialist for our clients in India.

Job Requirements:

• Design, implement, maintain, and optimize data warehouse architecture and BI solutions. 

• Manage and support BI platforms (ETL/data integration, reporting, analytics) across multiple tools and environments — including but not limited to SAS, MicroStrategy, SAP Business Objects, Cognos, and IBM DataStage, ensuring high availability and performance.

• Lead data migrations, environment upgrades and system maintenance activities while managing user access, permissions, and security.

• Perform ETL / data-integration tasks, data mapping, data cleansing, transformation, and loading from multiple data sources (on-premise and cloud).

• Optimize query performance and data models (e.g. star / snowflake schemas, dimensional modeling) for efficient storage and retrieval. 

• Collaborate with business stakeholders (from domains such as Telecom, Retail, Banking) to gather requirements, translate business needs into technical specifications, and deliver reporting/data-analytics solutions.

• Develop, maintain, and optimize reports, dashboards, and data visualizations for stakeholders to drive business decision-making.

• Ensure data quality, governance, and security across data pipelines and BI systems; maintain documentation for data models, ETL processes, metadata, and system configurations. 

• Provide production-support, troubleshoot issues, perform root-cause analysis for data/BI issues, and implement corrective actions as needed.

• Mentor junior team members, share best practices, and contribute to continuous improvement of BI/data warehousing processes and standards.

Qualifications:

• 10 + years of experience in BI, Data Warehouse, and ETL environments — administering, supporting, and optimizing enterprise-scale BI/ DWH systems.

• Strong hands-on experience with BI platforms such as SAS, MicroStrategy, SAP Business Objects, Cognos, DataStage (or similar).

• Expertise in relational databases (e.g. SQL Server, Oracle Database) with deep knowledge of SQL, query optimization, stored procedures, and performance tuning.

• Proven experience in data modeling, dimensional modeling (star/snowflake schemas), data warehousing architecture, ETL/data integration, data migration, and data governance.

• Experience working in domains such as Telecom, Retail, or Banking — ability to understand domain-specific data requirements and deliver relevant BI solutions.

• Exposure to cloud environments (e.g. AWS or other cloud-based data services) — understanding cloud-based data warehousing, scalability, and associated best practices.

• Strong analytical, problem-solving and troubleshooting skills.

• Excellent communication and stakeholder-management skills — ability to translate business requirements into technical solutions and present data insights clearly to non-technical stakeholders.

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