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Senior Data Engineering Specialist

1 month ago

Gurgaon, Haryana, India Drimlite Full time

Data Engineer Role Overview

We are seeking a highly skilled Data Engineer to design, build, and maintain data pipelines, architectures, and ETL processes using advanced tools and technologies. The ideal candidate will have hands-on experience with PySpark, Databricks, and Azure DevOps, and will be proficient in building scalable solutions for data processing and analytics.

Key Responsibilities:

1. Design and develop data pipelines using Spark-SQL and PySpark within Azure Databricks to handle large datasets efficiently.

2. Develop ETL pipelines using Azure Data Factory (ADF) for robust data transformation and integration.

3. Build and maintain a Lakehouse architecture in ADLS/Databricks, ensuring scalable and efficient data storage and processing.

4. Perform data preparation tasks including cleaning, normalization, deduplication, and type conversion for optimized data usability.

5. Collaborate with the DevOps team to deploy data solutions in production environments using Azure DevOps.

Requirements:

- 3 to 5 years of experience in data engineering, with a strong focus on PySpark, Databricks, and Azure DevOps.

- Expertise in designing and building ETL pipelines using ADF.

- Strong knowledge of Lakehouse architecture and ADLS/Databricks.

- Solid experience with SQL for database queries and data management.

- Proven ability to collaborate with global teams and lead data projects.

About Drimlite

Drimlite is a leading organization in the field of data engineering and analytics. We are committed to delivering high-quality solutions that meet the needs of our clients. We are seeking a talented Data Engineer to join our team and contribute to our mission.