Job's Description:

• Design, develop, and maintain efficient and scalable data pipelines to support business intelligence and analytics.
• Build and manage data models and ETL workflows to extract, transform, and load data from various sources.
• Ensure data quality, consistency, and accuracy across systems.
• Collaborate with stakeholders to understand data requirements and deliver actionable insights.
• Monitor and troubleshoot data pipelines, addressing performance and reliability issues.

Requirements:

• Bachelor degree in Computer Science, or IT related fields
• 3 years of Data Engineering, ETL developer or a related field
• Experience using Python, Java, Go, or Scala for data processing (Python preferred)
• Experience using SSIS, SSAS, SSRS, Pentaho, PowerBI, Informatica, Microsoft Visual Studio, Azure Databricks
• Strong knowledge of data modeling, ETL processes, and data warehousing concepts.
• Hands-on experience with data integration tools and big data technologies (e.g., Apache Spark, Kafka, Hadoop) is a pluss
• Understanding Linux and docker is a plus
• Understanding SQL Server Mandatory
• Communication skills, especially explaining technical concepts to non-technical business leaders