Job Location: Hyderabad/Secunderabad
.Roles and Responsibilities
Senior Data Engineer (Azure):
# 6-10 years of experience in IT Industry
# 3 years of experience with Azure Data Engineering Stack (Event Hub, Data Factory, Cosmos DB, Synapse, SQL DB, Databricks, Data Explorer)
# 3 years of experience with Python Pyspark, Spark, Scala, Hive, Impala # Excellent knowledge of SQL and coding skills
# Good understanding of other Azure services like Azure Data Lake Analytics, U-SQL, Azure SQL DW # Good Understanding of Modern Data Warehouse Lambda Architecture, Data warehousing concepts # Experience with scripting languages such as shell. # Excellent analytical and organization skills.
# Effective working in a team as well as working independently.
# Experience of working in Agile delivery
# Knowledge of software development best practices. # Strong written and verbal communication skills.
# Azure Data Engineer certification is added advantage Senior Data Engineer (Azure): # Good Understanding of Modern Data Warehouse Lambda Architecture, Data warehousing concepts # Experience with scripting languages such as shell. # Excellent analytical and organization skills. # Effective working in a team as well as working independently. # Experience of working in Agile delivery # Knowledge of software development best practices. # Strong written and verbal communication skills. # Azure Data Engineer certification is added advantage
Desired Candidate Profile
# 5-8 years of experience in IT Indu stry # 3 years of experience with Azure Data Engineering Stack (Event Hub, Data Factory, Cosmos DB, Synapse, SQL DB, Databricks, Data Explorer) # 3 years of experience with Python Pyspark, Spark, Scala, Hive, Impala # Excellent knowledge of SQL and coding skills # Good understanding of other Azure services like Azure Data Lake Analytics, U-SQL, Azure SQL DW
Perks and Benefits
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