Description

You will bridge the gap between technical data solutions and business objectives by designing and maintaining a scalable data strategy.

Responsibilities

  • Architect and implement data solutions including data warehouses, data lakes, and data marts.
  • Design conceptual, logical, and physical data models to support descriptive and predictive analytics.
  • Develop and test ETL/ELT pipelines to integrate data from on-prem, cloud, and SaaS sources.
  • Maintain an enterprise-wide data catalog, automating metadata ingestion and establishing data dictionaries.
  • Enforce data governance policies to ensure data quality, security, and compliance.
  • Optimize BI systems and data pipelines for performance, reliability, and cost-effectiveness.

Required Skills

  • 3+ years of experience in data architecture or engineering.
  • Proven experience with ETL/ELT processes.
  • Hands-on experience with Power BI, Tableau, or Crystal.
  • Experience with AWS Redshift and RDS.
  • Experience with Azure Data Lake Storage.
  • Working knowledge of Hadoop, Spark, and Kafka.
  • Ability to translate business requirements into technical specifications.
  • Degree in any field of study.

Education

Any Graduate