Key Responsibilities:

- Design, develop, and maintain robust data pipelines and ETL/ELT processes.
- Develop and optimize Power BI reports, dashboards, and semantic models.
- Build efficient data models using star/snowflake schemas and implement appropriate relationships.
- Write complex and optimized SQL queries, stored procedures, and views.
- Develop DAX measures, calculated columns, and KPIs in Power BI.
- Integrate data from multiple sources including databases, APIs, files, and cloud platforms.
- Perform data cleansing, transformation, validation, and quality checks.
- Optimize Power BI reports and datasets for performance, scalability, and usability.
- Implement and manage Power BI workspaces, datasets, dataflows, refresh schedules, and gateways.
- Work with stakeholders to understand reporting requirements and translate them into technical solutions.
- Implement appropriate data security and Row-Level Security (RLS) in Power BI.
- Monitor data pipelines and troubleshoot data-quality or reporting issues.
- Follow best practices for data governance, documentation, version control, and deployment.
- Collaborate with Data Analysts, BI Developers, Software Engineers, and business stakeholders.

Required Skills:

- Strong experience with Microsoft Power BI.
- Advanced knowledge of SQL and relational databases.
- Strong hands-on experience with DAX and Power Query (M).
- Experience in data warehousing and dimensional data modeling.
- Practical experience building and maintaining ETL/ELT pipelines.




- Understanding of data engineering concepts including data ingestion, transformation, orchestration, and data quality.
- Experience with Power BI Service, workspaces, gateways, deployment pipelines, and scheduled refreshes.
- Knowledge of Azure/AWS/GCP data services is preferred.
- Experience with tools such as Azure Data Factory, Databricks, Synapse, or similar data platforms is an advantage.
- Familiarity with Git/version control and CI/CD is preferred.
- Robust analytical, troubleshooting, and communication skills.

Qualifications:

- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
- 3 - 6 years of relevant experience in Data Engineering, BI, Analytics, or Power BI development.
- Relevant Microsoft/Azure/Power BI certifications are an advantage.

Key Competencies:

- Data Engineering &
- ETL
- Power BI &
- DAX
- SQL &
- Database Development
- Data Modeling &
- Warehousing
- Data Visualization &
- Reporting
- Data Quality &
- Governance
- Performance Optimization
- Problem Solving &
- Analytical Thinking
- Stakeholder Management

Preferred Experience:

- Experience working with large datasets and enterprise reporting environments.
- Experience migrating or modernizing legacy BI solutions.
- Knowledge of Azure-based data architecture.
- Experience implementing automated deployments and CI/CD for BI solutions.
- Understanding of security, governance, and enterprise Power BI administration.

📌 Data Engineer - SQL/ETL (India)
🏢 Sampoorna Computer People
📍 India