
Cloud Data Engineering Professional
2 days ago
Location: Remote
Notice Period: Immediate Start Required
Experience: 4–6 Years
We are seeking an experienced Cloud Data Engineer to work in a hybrid development + support role. The ideal candidate will be responsible for designing, building, maintaining, and supporting data & analytics solutions using cloud-based technologies with a strong focus on performance, scalability, and reliability.
Key Responsibilities:- Develop, maintain, and support data pipelines using cloud-based services such as AWS Glue, Azure Data Factory, Databricks, and Synapse.
- Work on data cleansing, transformation, and enrichment using PySpark and Databricks notebooks.
- Handle incident resolution, bug fixing, RCA, and provide on-call support as required.
- Perform code reviews, enhancements, and performance tuning.
- Collaborate with stakeholders and SMEs to deliver scalable data solutions.
- Implement CI/CD pipelines using DevOps tools.
- 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: Monday - Friday, 11 AM – 8 PM / 2 PM – 11 PM / 5 PM – 2 AM
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