Skills Required:

•         6+ years of strong experience in Data engineering projects using Microsoft Azure platform (Min 2-3 projects)

•         Strong expertise in building data engineering solutions using Azure Data Lake, Azure Data Factory, Azure Data Bricks, Azure ADLS Gen2, Blob storage, Azure Storage Explorer

•         Proficient in creating Data Factory pipelines for on-cloud ETL processing; copy activity, custom Azure development etc.

•         Knowledge of Azure Data Catalog, Event Grid, Service Bus, SQL, and Synapse.

•         Strong expertise in Spark framework using Scala/Python/Java.

•         Strong T-SQL programming skills or with any other flavor of SQL.

•         Experience working with high volume data, large objects, complex data transformations.

•         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.

Good to Have

•         Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Events Hub, and Kafka.

•         Experience using Jira and ServiceNow in project environments