Description

You will design, build, and maintain scalable data pipelines and ETL processes on AWS. You will develop Power BI dashboards and reports, collaborating with stakeholders to define business metrics and KPIs. You will ensure data quality and integrity across systems while troubleshooting pipeline issues.

Responsibilities

• Design and maintain scalable data pipelines using AWS services including S3, Redshift, Glue, Lambda, Athena, RDS, and EMR.
• Develop and optimize data workflows for efficient ingestion, transformation, and storage.
• Create and support Power BI dashboards, reports, and data models using DAX queries.
• Collaborate with stakeholders to understand business requirements and define KPI reporting.
• Monitor data pipeline performance, troubleshoot issues, and ensure data consistency.

Required Skills

• 5+ years of hands-on experience with the AWS Cloud Platform, specifically S3, Redshift, Glue, Lambda, Athena, RDS, and EMR.
• Proven expertise in Power BI, including dashboard creation, report development, data modeling, and DAX queries.
• Strong knowledge of SQL and relational databases.
• Experience with ETL/ELT tools and data integration processes.
• Understanding of data warehousing concepts and data lake architecture.
• Experience working with large datasets and performance optimization.
• Familiarity with business intelligence and analytics reporting.

Preferred Skills

• Experience with Python, Spark, or PySpark.
• Ability to work in a collaborative environment.

Key Skills

Education

Any Gradute