About the job
Join Riveron, a dynamic and fast-growing firm, as an Azure Data Engineer in our expanding data team in India. We are on the lookout for a skilled professional with a robust background in cloud-based data engineering. If you have a passion for tackling intricate data challenges and developing scalable solutions utilizing Azure technologies, we want to hear from you!
Who You Are:
A dedicated data engineering expert with 4–5 years of experience focused on Azure-based solutions.
Proficient in SQL with a knack for advanced query writing, stored procedures, and performance tuning.
Skilled in Python for data manipulation, automation, and integration tasks.
Experienced with PySpark for large-scale distributed data processing.
Well-versed in data modeling, including relational, dimensional, and big data models.
Familiar with version control tools such as Git and best practices in collaborative development.
Knowledgeable in performance optimization techniques including indexing, partitioning, and caching.
What You’ll Do:
Design, build, and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, and Azure Data Lake.
Develop and enhance data workflows and transformations with SQL, Python, and PySpark.
Collaborate with cross-functional teams to gather data requirements and deliver solid solutions.
Implement and manage data models across various storage and processing layers.
Ensure the high performance and reliability of data systems through ongoing tuning and optimization.
Maintain code quality and version control using Git or similar tools.
Contribute to continuous improvement initiatives and stay informed about the latest Azure data engineering trends.
Preferred Qualifications:
Hands-on experience with Azure Synapse Analytics.
