Job Title: Azure Big Data Engineer

Years of Experience: 4 to 8 Years

Relevant Experience: 5 Years

Headcount: 02

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

Location: Bangalore (preferred) Hyderabad

Time Zone: IST time zone (In IST 10:00 am to 7:00 pm)

Project Name:

Client: Bosch

End Client:

Other details:

Interview details:

• L1 round Face 2 Face Bosch locations at Bangalore or Hyderabad (with Bosch team)
• L2 round Virtual with end client.

Mandatory Skills:

Azure Skills Like

• Azure Databricks
• Azure Synapse
• Azure Functions
• Azure Data Lake
• Azure Integration Services
• Azure API Management
• CI/CD and PowerShell Scripts
• ADF
• ETL Pipelines
• Unity Catalog
• Azure SQL Database
• SQL Coding

• Storage Account Azure Data Explorer Spark Structured Streaming ADF Netezza SQL queries Data lineage Spark jobs.

Role & Responsibilities / Job Description:

• Overall 4 to 8 years of experience with a minimum 4 years of relevant professional work experience.
• Design implement and maintain data pipelines for data ingestion processing and transformation in Azure.
  
• Work together with data analysts to understand the needs for data and create effective data workflows.
  
• Create and maintain data storage solutions including Azure Databricks Azure Functions Azure Data Lake Azure Synapse Azure Integration Services Azure API Management CI/CD and PowerShell Scripts. ADF ETL Pipelines Unity Catalog Azure SQL Database SQL Coding Azure SQL Database Azure Data Lake.
• Utilizing Azure Data Factory to create and maintain ETL (Extract Transform Load) operations using ADF pipelines.
• HandsOn Experience working on Data Bricks for implementing Transformations and Delta Lake.
• HandsOn Experience working on Serverless SQL Pool Dedicated SQL Pool.
• Use ADF pipelines to orchestrate the end to end data transformation including the execution of DataBricks notebooks.
• Should have experience working on Medallion Architecture.
• Experience working on CI/CD pipelines using Azure DevOps.
• Attaching both ADF and ADB to DevOps.
• Creating and managing Azure infrastructure across the landscape using Bicep.
• Implementing data validation and cleansing procedures will ensure the quality integrity and dependability of the data.
• Improve the scalability efficiency and costeffectiveness of data pipelines.
• Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data.
• Good to have exposure on Power BI Power Automate.

Task description:

• We are looking for a Data Engineer to join our growing team of analytics experts.
• The hire will be responsible for expanding and optimizing our data and data pipeline architecture as well as optimizing data flow and collection for cross functional teams.
• The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
• Should have good hands on implementing Incremental/Delta loads.

• Develop and Support activities of development in Projects and Automation solutions for customers

Deliverables Expected

The following shall be the deliverables as per project documented quality process:

1. Updated requirements document / Detailed Bug Analysis report
2. Concept document (wherever applicable)
3. Design document (for all features)
4. Test specification document
5. Source code
6. Review report
7. Test report
8. Filled review checklists
9. Traceability matrix
10. User manuals and related artifacts
11. Filled predelivery checklist (PDC)
12. Release Note & release mails

Remote Work :

No