Experience in Data engineering projects using Microsoft Azure platform (Min 2-3 projects)

• Strong expertise in data engineering tools and storage such as Azure ADLS Gen2, Blob storage
• Experience implementing automated Synapse pipelines
• Ability to implement Synapse pipelines for data integration ETL/ELT using Synapse studio
• Experience integrating Synapse notebooks and Data Flow
• Should be able to troubleshoot pipelines
• Strong T-SQL programming skills or with any other flavor of SQL
• Experience working with high volume data, large objects
• Experience working in DevOps environments integrated with GIT for version control and CI/CD pipeline.
• Good understanding of data modelling for data warehouse and data marts
• Should have experience on big data components like HIVE, Sqoop, HDFS, Spark
• Strong verbal and written communication skills
• Ability to learn, contribute and grow in a fast phased environment

Nice to have:

• Expertise in Microsoft Azure is mandatory including components like Azure DataBricks, ADF, Azure Events Hub and Kafka.
• Experience using Jira and ServiceNow in project environments

Experience in implementing Datawarehouse and ETL solutions