Description
Elevate your career as a Mid-Level Data Engineer with Synechron, focusing on Azure cloud solutions and data modeling. Contribute to cutting-edge data strategies in a dynamic environment.<br/><br/>Join Synechrons talented team where you will implement scalable data platforms and enhance analytics-ready datasets. Were seeking candidates with expertise in SQL, ETL processes, Databricks, and Azure Data Factory to meet the data requirements of our finance-focused clients. Your innovative approach will be vital in supporting enterprise reporting and ensuring data quality across processes.<br/><br/>Key Responsibilities:
• Design and optimize data models to meet business needs
• Develop efficient ETL pipelines using Spark and Databricks
• Write complex SQL queries for data extraction and transformation
• Collaborate with analytics teams to deliver data solutions
• Ensure compliance with data governance and security standards<br/><br/>Requirements:
• 6 to 10 years in data engineering with SQL expertise
• Experience with REST API and GraphQL integration
• Hands-on with Azure services including Data Lake and Databricks
• Strong knowledge of Spark, Python, or Scala
• Bachelors degree in Computer Science or related field<br/><br/>Harness your data engineering skills and contribute to industry-leading digital solutions at Synechron.
