
Senior Data Platform Specialist
1 week ago
Job Overview:
We are seeking a seasoned Azure Data Engineer to join our hybrid development + support team. The ideal candidate will be responsible for designing, implementing, and maintaining data & analytics solutions using Azure Data Engineering technologies with a strong focus on performance, scalability, and reliability.
The successful candidate will work closely with stakeholders and SMEs to deliver scalable data solutions, leveraging Azure Databricks, PySpark, Azure Synapse Analytics, and other relevant tools.
This is an excellent opportunity to grow your career in a dynamic environment, working on high-impact projects that drive business growth.
Key Responsibilities:- Design and implement data pipelines using Azure Data Factory, Databricks, and Synapse.
- Cleanse, transform, and enrich data using PySpark and Databricks notebooks.
- Resolve incidents, fix bugs, and perform root cause analysis as required.
- Perform code reviews, enhancements, and performance tuning.
- Collaborate with stakeholders to deliver scalable data solutions.
- Implement CI/CD pipelines using Azure DevOps.
- Azure Databricks, PySpark, Azure Synapse Analytics
- Azure Data Factory, ADLS Gen2, Blob Storage
- Python, SQL, JSON, Parquet
- Azure DevOps (CI/CD)
- Data Warehousing & Data Modeling concepts
- ServiceNow (incident/change management)
- Experience with BI tools (Power BI preferred)
- DP-203 Certification
- Weekly rotational shifts:
- 11 AM – 8 PM
- 2 PM – 11 PM
- 5 PM – 2 AM
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