- Location
- IN323 - Prestige Bangalore EIT - INES,INA7,INET- NSTPI (IN323), India
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Source
- Workday
Description
Job Description:
Senior Azure Data Engineer
Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai
- Skillset: ADF + ADB + UC + Synapse + Serverless Compute + Delta Tables + SQL + PySpark + Python.
• Overall 10+ 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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