Consultant Data Engineer - Azure Databricks (India)

Consultant Data Engineer - Azure Databricks (India)

19 Aug
|
WorkPlace
|
India

19 Aug

WorkPlace

India

Consultant Data Engineer Databricks

Location : Bangalore, Hyderabad, Gurgaon

Experience : 4 to 8 Years

Employment Type : Full-time

Job Summary :

We are looking for an experienced Consultant Data Engineer Databricks with 4 to 8 years of experience in designing, developing, and optimizing scalable data engineering solutions on Azure and Databricks. The ideal candidate should have strong hands-on experience with PySpark, Azure Data Factory (ADF), Databricks, ETL pipelines, SQL, and cloud-based data platforms.

Key Responsibilities :

- Design, develop, and maintain scalable ETL/ELT data pipelines using Azure and Databricks.
- Develop and optimize data processing solutions using PySpark.
- Build and manage data pipelines using Azure Data Factory (ADF).
- Work with Databricks for data ingestion, transformation, processing, and optimization.
- Write complex and optimized SQL queries for data extraction and transformation.
- Implement data integration solutions across multiple data sources.
- Perform data cleansing, transformation, validation, and quality checks.
- Troubleshoot and optimize data pipelines for performance, reliability, and scalability.
- Collaborate with data architects, developers, business teams,



and clients to understand requirements.
- Participate in technical discussions and contribute to solution design.
- Ensure adherence to data engineering best practices, coding standards, and project requirements.
- Support deployment, monitoring, and troubleshooting of data engineering solutions across environments.

Required Skills :

- 48 years of relevant experience in Data Engineering.
- Strong hands-on experience with Databricks.
- Strong proficiency in PySpark.
- Hands-on experience with Azure Data Factory (ADF).
- Strong knowledge of ETL/ELT concepts and data pipeline development.
- Strong SQL skills.
- Positive understanding of Microsoft Azure data services.
- Experience working with large datasets and distributed data processing.

Preferred Qualifications :

- Experience with Azure-based data engineering projects.
- Knowledge of data lake/data warehouse concepts.
- Experience in performance tuning of Spark/Databricks jobs.
- Experience working in client-facing consulting environments.

Key Skills : Databricks, PySpark, Azure Data Factory, ETL, Azure, SQL, Data Engineering

📌 Consultant Data Engineer - Azure Databricks (India)
🏢 WorkPlace
📍 India

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