Data Engineer

• We are currently hiring a Data Engineer to join our growing engineering team
• Develop and maintain scalable and resilient pipelines for handling volumes of structured and semi-structured data.
• Building tools to reduce occurrences of errors and improve customer experience
•  Designing procedures for system troubleshooting and maintenance
•  Extraction, transformation, loading, and integration of data from various sources
•  Investigating and resolving technical issues by deploying updates/ fixes
• Recommending, developing, and implementing ways to improve data reliability, efficiency, and quality

Key Requirements:

• Must have: – Azure Data Factory, Databricks, SQL, Pyspark, Storage account
• Good to have: – SSIS, Azure DevOps, Azure Synapse, Azure Functions
• 2-4 years of Data Engineering experience
• Hands-on experience in pyspark
• Understanding SQL is a must
• Any relational database or DWH experience
• Be familiar with DevOps and version control practices.
• Good level of competency with Databases – SQL/PLSQL, ETL concepts, and Data Warehousing
• Good to have: SSIS, Azure DevOps, Azure Functions
• Exposure to Azure Synapse will be good
• Certification in Azure cloud is good to have