Azure Databricks
1 day ago
**About the job Azure Databricks**:
**Job Description: Data Engineer (Azure Databricks & PySpark)**:
**Position**: Data Engineer
**Experience**: 3 to 5 years
**Primary Skills**: Azure Databricks, PySpark, SQL
**Secondary Skills**: ADF (Azure Data Factory)
**Location**: Bengaluru/Hyderabad
**Mode of Work**: Hybrid
**Notice Period**: 0 to 30 Days
**Key Responsibilities**:
**ETL Development & Data Processing**:
- Design, develop, and maintain **ETL pipelines** using **Azure Databricks, PySpark, and ADF**.
- Extract, transform, and load data from multiple sources into **Azure Data Lake Storage**.
- Optimize and fine-tune **ETL workflows for performance and scalability**.
**SQL & Query Optimization**:
- Write **complex SQL queries, joins, subqueries, and functions** for data processing.
- Perform **SQL tuning and query optimization** for improved efficiency.
- Work with **large datasets** and ensure optimal data handling.
**Azure Cloud Integration**:
- Implement **data solutions using Azure technologies** (Databricks, ADF, ADLS).
- Work with **batch and streaming data processing** for real-time analytics (preferred).
- Ensure **data security, compliance, and reliability** in cloud-based systems.
**Collaboration & Problem-Solving**:
- Work closely with cross-functional teams to support **data analytics and business intelligence initiatives**.
- Identify and resolve **data-related issues proactively**.
- Provide insights and recommendations for **improving ETL performance**.
**Required Skills & Qualifications**:
**3 to 5 years of experience** in **Azure Databricks, PySpark, and SQL**.
**Strong SQL skills** complex joins, functions, procedures, query tuning.
Hands-on experience in **ADF (Azure Data Factory) and Azure Data Lake Storage**.
Ability to handle **large datasets efficiently**.
Experience in **performance optimization of ETL workflows**.
Good understanding of **batch and streaming data processing** (preferred).
Strong analytical and problem-solving skills.
Ability to **work independently** and take ownership of tasks.
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