Data Engineer (Databricks)
Posted on March 21, 2025
Job Description
- Data Engineer (Databricks)
- Experience Level-5 - 8 Years
- Gurugram, Bengaluru, Hyderabad
- Good To Have Skills
- Change Management tool, DevOps
- Must Have Skills
- Pyspark, Azure, ADF, Databricks, ETL, SQL
- External Description
- Design and build data pipelines using Spark-SQL and PySpark in Azure Databricks
- Design and build ETL pipelines using ADF
- Build and maintain a Lakehouse architecture in ADLS / Databricks.
- Perform data preparation tasks including data cleaning, normalization, deduplication, type conversion etc.
- Work with DevOps team to deploy solutions in production environments.
- Control data processes and take corrective action when errors are identified. Corrective action may include executing a work around process and then identifying the cause and solution for data errors.
- Participate as a full member of the global Analytics team, providing solutions for and insights into data related items.
- Collaborate with your Data Science and Business Intelligence colleagues across the world to share key learnings, leverage ideas and solutions and to propagate best practices.
- You will lead projects that include other team members and participate in projects led by other team members.
- Apply change management tools including training, communication and documentation to manage upgrades, changes and data migrations.
- External Skills And Expertise
- Must-Have Skills:
- Azure Databricks, Azure Data Factory, PySpark. Spark - SQL
- ADLS
Required Skills
data bricks
devops
azure
pyspark