Job Title: Azure Big data Engineer (Development & Support)

Years of Experience: 4 to 6 Years

Relevant Experience: 5+ Years

Headcount: 01

Job/Work type: WFO (5 days a week for First 3 months, later its Hybrid 3 days a week)

Location: Pune

Time Zone: IST time zone

Work Days: Monday to Friday

Project Name: Finolex

Client: Bosch

End Client: Finolex

Role & Responsibilities / Job Description:

Must to have skills :
- Databricks, Logic Apps, Azure Data Factory (ADF), ADLS, Azure SQL, and Databricks SQL..
- Good understanding and knowledge of Azure DevOps.

Responsibilities:
- Bachelor's degree in Information Technology or related field.
- 5+ years of hands-on experience in developing and supporting Azure Services.
- An end-to-end project development or implementation experience from start to finish is required of the candidate.
- Proficient in Azure: Databricks, Logic Apps, Azure Data Factory (ADF), ADLS, Azure SQL, and Databricks SQL.
- Hands-on experience in languages like Python and understanding the Spark architecture (Pyspark).




- Should have a good understanding and knowledge of SQL and NoSQL databases, preferably SAP HANA, My-SQL, MS-SQL, etc.
- Should have a good understanding and knowledge of Azure DevOps.
- Should possess a good understanding of different environments (development, testing, and production setups).
- Valuable understanding of the project life cycle and agile methodology.
- Knowledge of best practices being followed in the Data Engineering discipline.
- Excellent communication and collaboration skills.

Mandatory Skills:
- Monitoring: Keep a close eye on the platforms, apps, data flow, and Azure infrastructure.
- First Level Triage: Utilize Standard Operating Procedures (SOP) to guide early issue analysis and resolution.
- Communication: Effectively communicate with end users and escalate problems as needed Help with the setup of alerts and notifications for important events or breaches.
- Managing Incidents: Respond to regular issues and s

📌 Azure Big data Engineer (Pune)
🏢 PradeepIT Consulting Services
📍 Pune