Aufgaben
Key Responsibilities
- Business Intelligence & Reporting
- Design, develop, and maintain Power BI dashboards, reports, and semantic data models.
- Work closely with business stakeholders to gather requirements, translate them into technical specifications, and deliver user-friendly BI outputs.
- Optimize visualizations and DAX measures to ensure high performance and usability.
- Implement governance and security within Power BI workspace environments.
- ETL & Data Engineering
- Develop and maintain ETL workflows using SSIS, ensuring reliable, efficient, and scalable data pipelines.
- Implement data quality checks, data validations, and exception handling routines.
- Automate data ingestion and transformation processes from multiple source systems.
- Maintain and enhance data marts and operational data stores.
- Reporting & Documentation
- Build and support SSRS reports, scheduled jobs, and subscription-based reporting.
- Maintain clear documentation for data flows, data models, and reporting logic.
- Support internal audits, compliance requirements, and data governance initiatives.
- Database Administration & Data Analysis
- Perform intermediate-level SQL Server administration, including performance tuning, indexing, query optimization, backup/restore, and security management.
- Conduct in-depth data analysis, identify patterns, anomalies, and business insights using SQL and BI tools.
- Ensure availability, integrity, and reliability of production databases.
- Cloud & Azure
- Support basic Azure data services, such as Azure SQL, Azure Data Factory, and storage accounts as part of ongoing cloud adoption.
- Assist in migration and integration activities between on-premise SQL environments and Azure cloud workloads.
- Required Skills & Experience
Technical Skills
- 3 to 5 years of hands-on experience in Business Intelligence and Data Engineering.
- Strong expertise in Power BI (DAX, Power Query, data modelling).
- Advanced SQL skills with experience in SQL Server (2016 or above).
- Strong experience with SSIS (ETL) and SSRS (reporting).
- Good understanding of database performance optimisation and administration.
- Exposure to Azure SQL, Azure Data Factory, or related cloud services (preferred).
- Ability to work with APIs, flat files, and heterogeneous data sources.
Soft Skills
- Strong analytical and problem-resolution capabilities.
- Excellent communication, requirement gathering, and stakeholder management skills.
- Ability to multitask and work independently with minimal supervision.
- Attention to detail and a data-driven mindset.
Qualifikationen
- Bachelor's or Master's degree in Computer Science, Information Technology Engineering, or a related field.
Benefits
KinderbetreuungParkplatzGute AnbindungBetriebsarztKantine, CafKontaktMercedes-Benz Financial Services India Private LimitedE-3, MIDC Chakan, Phase III, Chakan Industrial Area410501 PuneDetails zum StandortLavanya Bhamidipati E-Mail: [HIDDEN TEXT]Bewerben