Description

You will design and maintain scalable ETL/ELT pipelines and data warehouses to support analytics initiatives.

This role is on-site.

Responsibilities

• Develop automated dashboards, KPI scorecards, and executive reporting solutions using modern BI tools.
• Perform deep-dive data analysis, trend analysis, and root-cause investigations to identify business insights.
• Optimize SQL queries and data workflows for performance, scalability, and reliability.
• Implement data quality validation processes and monitoring frameworks to ensure data integrity.
• Collaborate with stakeholders to translate business needs into technical solutions and maintain documentation.

Required Skills

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field.
• 5+ years of experience in Business Intelligence, Data Engineering, or Analytics Engineering.
• Strong expertise in SQL and data analysis on large-scale datasets.
• Hands-on experience with ETL/ELT pipeline development and data transformation workflows.
• Proficiency with BI and visualization tools such as Power BI, Tableau, or Looker.
• Experience with cloud-based analytics platforms including AWS, Azure, or GCP.
• Strong understanding of data warehousing concepts and data modeling techniques.

Preferred Skills

• Experience with Python, Spark, or distributed data processing technologies.
• Familiarity with workflow orchestration tools such as Airflow.

Key Skills

Education

Bachelor's degree