Senior Azure Data Engineer at Hyderabad
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What you'll do
- Designing, developing, and implementing large-scale applications or data engineering solutions
What they're looking for
- Overall 6 to 18 Years of total experience
- 4+ years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
- 4+ years data analytics experience using SQL
- 4+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake and Azure Power Apps
- Combination of Development, Administration & Support experience in several of the following tools/platforms required: Scripting: Python, Spark and Unix
- Data Platforms: Teradata, Cassandra, MongoDB, SQL Server, ADLS, Snowflake.
- Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps, Azure Functions & Azure Data Explorer (KQL)
- CI/CD: GitHub, Azure DevOps, Terraform
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Job Description:
Senior Azure Data Engineer
Job Location : Hyderabad
• Overall 6 to 18 Years of total experience
• 4+ years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
• 4+ years data analytics experience using SQL
• 4+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake and Azure Power Apps
"Combination of Development, Administration & Support experience in several of the following tools/platforms required:
• Scripting: Python, Spark and Unix
• Data Platforms: Teradata, Cassandra, MongoDB, SQL Server, ADLS, Snowflake.
• Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps, Azure Functions & Azure Data Explorer (KQL)
• CI/CD: GitHub, Azure DevOps, Terraform
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