Senior Azure Data Engineer at Hyderabad
At a glance
Senior Data Engineering role at Dxctechnology. Hyderabad · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Design, build and launch large-scale applications or data engineering solutions using agile, DevOps or product-based methods
- Use SQL to support data analytics work
- Develop cloud and data lake solutions, preferably on Microsoft Azure
- Handle development, administration and support across the listed scripting, data, Azure and CI/CD platforms
What you bring
- You have six to eighteen years of overall experience, including at least four years building software solutions
- You bring at least four years of data analytics work using SQL
- You have at least four years working with cloud development and data lakes, preferably with Azure
- You have worked across development, administration and support using several of the listed tools and platforms
Who this fits
This senior role is based in Hyderabad. It suits an experienced data engineer with software, SQL analytics and cloud data lake experience, particularly on Azure. The work model prioritizes in-person collaboration while allowing flexibility.
From the 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
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
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