Azure Big data Engineer (Development & Support) | 4 to 6 Yrs | WFO | SOW 2756 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 / : 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 service requests in accordance with established SLAs.

Cooperation: Work together to resolve issues with the L2 and L3 teams and with OEM's like Microsoft and Databricks, etc.

Development: Create new pipelines based on the demands of the business requirements, from source to target (till the semantic layer).

Improvement: Streamline the current ETL/ELT pipelines in order to cut expenses and time, and adjust the semantic layer to maximize undelaying performance and reduce data latency.

Education and Work Experience Requirements: Bachelor's degree in information technology or a related field. 5 years of hands-on experience in developing and supporting PowerBI reports and dashboards. Proficient in PowerBI-DAX, Role-Based Access Control (RBAC), Dashboard Development, Testing and Production Setups. Good understanding of Project Life Cycle and different development environments.

Knowledge of BI best practices and data visualization principles. Excellent communication and collaboration skills.

📌 Azure Big Data Engineer (Pune)
🏢 Pradeepit Global Consulting Private
📍 Pune