Job Description
Overview:
We are seeking an experienced Azure Data Engineer to join our team in a hybrid Developer/Support capacity. This role focuses on enhancing and supporting existing Data & Analytics solutions by leveraging Azure Data Engineering technologies. The engineer will work on developing, maintaining, and deploying IT products and solutions that serve various business users, with a strong emphasis on performance, scalability, and reliability.
Must-Have Skills:
Azure Databricks
PySpark
Azure Synapse Analytics
Key Responsibilities:
- Incident classification and prioritization
- Log analysis and trend identification
- Coordination with Subject Matter Experts (SMEs)
- Escalation of unresolved or complex issues
- Root cause analysis and permanent resolution implementation
- Stakeholder communication and status updates
- Resolution of complex and major incidents
- Code reviews (Per week 2 per individual) to ensure adherence to standards and optimize performance
- Bug fixing of recurring or critical issues identified during operations
- Gold layer tasks, including enhancements and performance tuning.
- Design, develop, and support data pipelines and solutions using Azure data engineering services.
- Implement data flow and ETL techniques leveraging Azure Data Factory, Databricks, and Synapse.
- Cleanse, transform, and enrich datasets using Databricks notebooks and PySpark.
- Orchestrate and automate workflows across services and systems.
- Collaborate with business and technical teams to deliver robust and scalable data solutions.
- Work in a support role to resolve incidents, handle change/service requests, and monitor performance.
- Contribute to CI/CD pipeline implementation using Azure DevOps.
Technical Requirements:
- 4 to 6 years of experience in IT and Azure data engineering technologies.
- Strong experience in Azure Databricks, Azure Synapse, and ADLS Gen2.
- Proficient in Python, PySpark, and SQL.
- Experience with file formats such as JSON and Parquet.
- Working knowledge of database systems, with a preference for Teradata and Snowflake.
- Hands-on experience with Azure DevOps and CI/CD pipeline deployments.
- Understanding of Data Warehousing concepts and data modeling best practices.
- Familiarity with SNOW (ServiceNow) for incident and change management.
Non-Technical Requirements:
- Ability to work independently and collaboratively in virtual teams across geographies.
- Strong analytical and problem-solving skills.
- Experience in Agile development practices, including estimation, testing, and deployment.
- Effective task and time management with the ability to prioritize under pressure.
- Clear communication and documentation skills for project updates and technical processes.
Technologies:
- Azure Data Factory
- Azure Databricks
- Azure Synapse Analytics
- PySpark / SQL
- Azure Data Lake Storage (ADLS), Blob Storage
- Azure DevOps (CI/CD pipelines)
Nice-to-Have:
- Experience with Business Intelligence tools, preferably Power BI
- DP-203 certification (Azure Data Engineer Associate)
NOTE -
Weekly rotational shifts -
11am to 8pm
2pm to 11pm
5pm to 2 am
P.S. - In any one weekend they should be available in call. If there is any issues alone they should work on that. there will be on call support monthly once.

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