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4 days ago
Job Title: Data Engineering Professional
Location: Remote Opportunity
Notice Period: Immediate Onboarding
Experience: 4–6 Years Required
We are seeking a seasoned data engineer to join our team in a hybrid development + support role. The ideal candidate will be responsible for designing, implementing, and maintaining data & analytics solutions using Azure Data Engineering technologies with a focus on performance, scalability, and reliability.
Key Responsibilities:- Develop, maintain, and support data pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
- Work on data cleansing, transformation, and enrichment using PySpark and Databricks notebooks.
- Handle incident resolution, bug fixing, root cause analysis, and provide on-call support as required.
- Perform code reviews, enhancements, and performance tuning.
- Collaborate with stakeholders and subject matter experts to deliver scalable data solutions.
- Implement continuous integration and deployment pipelines using Azure DevOps.
- Azure Databricks, PySpark, and 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 Business Intelligence tools (Power BI preferred)
- DP-203 Certification
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