Azure Data Engineer

1 week ago

Bengaluru Karnataka, India DigitalCube Consultancy Full time

**Azure Data Engineer**

**Job Type
- Full time**

**Location
- Bangalore/ Mumbai, India**

**Responsibilities**:

- Design, develop, and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, and other Azure data services.
- Utilize Databricks for big data analytics and real-time data processing, ensuring optimal performance and efficiency.
- Collaborate with data architects to design and implement effective data models and architectures to support business requirements.
- Implement ETL processes for data extraction, transformation, and loading, ensuring the integrity and quality of the data.
- Integrate data from various sources, ensuring compatibility, accuracy, and adherence to data governance standards.
- Identify and address performance bottlenecks in data pipelines, optimizing for speed, reliability, and scalability.
- Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver effective solutions.
- Conduct code reviews, enforce best practices in coding and documentation, and mentor junior team members.

**Education**:

- Bachelor’s or master’s degree in Computer Science, Information Systems, or a related field.

**Experience**:

- Minimum of [6] years of hands-on experience as a Data Engineer, with a focus on Azure Data Engineering and Databricks.

**Technical Skills**:

- Proficiency in Azure Data Factory, Azure Databricks, Pyspark, SQL, Python, and ETL processes.
- Solid understanding of data modeling, data warehousing, and big data concepts

**Job Types**: Full-time, Permanent

**Salary**: ₹2,500,000.00 - ₹2,800,000.00 per year

Schedule:

- Day shift

**Education**:

- Bachelor's (preferred)

**Experience**:

- total work: 6 years (required)

Ability to Commute:

- Bangalore, Karnataka (required)

Ability to Relocate:

- Bangalore, Karnataka: Relocate before starting work (required)

Work Location: In person

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