[Hiring] Senior Data Analyst @Christie Digital Systems Inc.

Role Description

We’re looking for a Sr. Data Analyst to join our team in India. This role is responsible for designing, developing, and supporting enterprise data engineering solutions using Microsoft Fabric.

• Design, develop, enhance, and maintain Microsoft Fabric Data Pipelines for extracting and loading data from enterprise source systems.
• Build integrations with JDE, Oracle, SQL Server, and other relational data platforms to ingest data into Microsoft Fabric.
• Develop and maintain PySpark notebooks for data processing and transformation within the Fabric Lakehouse, primarily supporting Bronze-to-Silver processing.
• Develop advanced SQL queries, views, stored procedures, and transformation logic within Fabric Warehouse to support Silver-to-Gold data processing.
• Implement incremental loading, change-data processing, historical loads, and other appropriate ingestion patterns based on source-system requirements.
• Design and maintain data structures in the Fabric Lakehouse and Warehouse that support enterprise analytics and downstream Power BI semantic models.
• Monitor scheduled data pipelines and data loads, troubleshoot failures, identify root causes, and implement permanent solutions for recurring issues.
• Perform data validation and reconciliation between source systems and Fabric to ensure completeness, accuracy, and consistency.
• Optimize PySpark, SQL, stored procedures, pipelines, and warehouse processes for performance and scalability.
• Maintain existing production data pipelines and enhance them as business and technical requirements evolve.
• Collaborate with analysts, Power BI developers, application teams, and business stakeholders to understand data requirements and deliver trusted data for reporting and analytics.
• Apply data governance, security, access control, naming, and development standards across Fabric solutions.
• Maintain technical documentation for data pipelines, notebooks, data transformations, source-to-target mappings, dependencies, and operational support procedures.

Qualifications

• BE/B.Tech/Diploma in Computer Science/Data Engineering
• 8-10 years’ experience of relevant experience
• Knowledge of the organization’s JDE data structures, business processes, and system integrations, including how data from JDE, Oracle, SQL Server, and other enterprise applications is used across business functions.

Requirements

• Strong proficiency in SQL, including complex queries, joins, performance tuning, stored procedures, and data transformation.
• Hands-on experience with Microsoft Fabric, including Data Pipelines, Lakehouse, Warehouse, notebooks, and data integration capabilities.
• Proficiency in PySpark for large-scale data processing, cleansing, transformation, and movement across Bronze and Silver data layers.
• Experience designing and supporting ETL/ELT data pipelines integrating data from JDE, Oracle, SQL Server, and other enterprise data sources.
• Strong understanding of data lake, data warehouse, dimensional modeling, and Medallion architecture (Bronze/Silver/Gold) concepts.
• Ability to troubleshoot pipeline failures, data quality issues, SQL performance problems, and source-system integration issues.
• Experience with data reconciliation and validation techniques to ensure completeness and accuracy between source and target systems.
• Working knowledge of Power BI and semantic models to understand how engineered data is consumed by downstream analytics and reporting solutions.

Benefits

• A competitive salary
• Vacation
• Health & dental benefits
• Employer-matched pension plan
• Opportunities to learn, grow, and collaborate with professionals on a global reach