Data Engineer With Power BI || Only on W2 || Remote
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Job Description: About the Role: We're seeking a skilled PowerBI + Data Engineer to join our team. This role combines expertise in data visualization using PowerBI with robust data engineering skills, particularly in cloud environments (AWS and/or Azure).
Key Responsibilities Data Engineering
Design, develop, and maintain scalable data pipelines using AWS/Azure services (e.g., AWS Glue, Azure Data Factory)
Implement and optimize ETL/ELT processes for large-scale data integration
Develop and maintain data lakes and data warehouses on cloud platforms
Create and manage real-time data streaming solutions using technologies like Apache Kafka or AWS Kinesis
Implement data governance policies and ensure data quality across all systems
Optimize database performance and query efficiency
Develop and maintain data documentation, including data dictionaries and data lineage
Business Intelligence
Create and optimize complex PowerBI reports, dashboards, and visualizations
Develop advanced DAX measures and calculated columns for in-depth analysis
Design and implement star schema and snowflake schema data models
Create and maintain semantic models (formerly known as datasets) in PowerBI
Implement row-level security and manage access controls in PowerBI
Develop custom visuals and themes to enhance report aesthetics and usability
Automate report refresh and distribution processes
Conduct requirements-gathering sessions with stakeholders to understand BI needs
Provide training and support to end-users on PowerBI tools and features
General
Collaborate with cross-functional teams to integrate data from various sources
Implement best practices for version control and CI/CD for BI solutions
Stay updated with the latest trends and technologies in data engineering and BI
Troubleshoot and resolve data-related issues promptly
Participate in code reviews and contribute to the improvement of team standards
Required Skills
Strong experience with PowerBI, including DAX, Power Query, and PowerBI Service
Proficiency in data engineering concepts and practices
Hands-on experience with AWS or Azure cloud services (e.g., Redshift, S3, Azure Data Factory, Azure Synapse)
Solid understanding of SQL and experience with big data technologies (e.g., Spark, Hadoop)
Programming skills in Python or R
Knowledge of data warehouse design and dimensional modeling
Experience with version control systems (e.g., Git)
Preferred Qualifications
Bachelor's degree in Computer Science, Information Systems, or related field
7+ years of experience in data engineering or business intelligence roles
Certifications in PowerBI, AWS, or Azure
Experience with data modeling tools (e.g., Erwin, ER/Studio)
Familiarity with Agile methodologies
Knowledge of machine learning concepts and their application in BI
If you're passionate about turning data into actionable insights and have a strong background in both PowerBI and cloud-based data engineering, we'd love to hear from you!
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Best Regards,
Sandhya
Senior Recruiter