Azure Databricks with Pyspark

5 hours ago

Hinjawadi Pune Maharashtra, India BirlaSoft Full time

Country/Region: IN- Requisition ID: 19901- Work Model:
- Position Type:
- Salary Range:
- Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI**Title**:Azure Databricks with Pyspark**:

- Description:

**Area(s) of responsibility**:
Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CK Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose.

**Azure Data Engineer with Databricks and PySpark**

**Years of experience 8 to 10 Years**
- Experience in Perform Design, Development & Deployment using Azure Services (**Databricks, PySpark**, SQL, Data Factory,)
- Develop and maintain scalable data pipelines and build new Data Source integrations to support increasing data volume and complexity.
- Experience in creating **Technical Specification Design**, Application Interface Design.
- Developing Modern Data Warehouse solutions using Azure Stack (**Azure Data Lake**, **Azure Databricks) and PySpark**:

- Develop batch processing and integration solutions and process Structured and Non-Structured Data
- Demonstrated in-depth skills with **Azure Databricks and PySpark,** and SQL
- Collaborate and engage with BI & analytics and the business team.
- Minimum 2 to 3 year of Project experience in Azure Databricks
- Minimum 2-3 years of experience in ADF
- Minimum 2+ years of experience in PySpark

**Location: Mumbai, Pune, Noida, Bangalore

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