Data Engineer

Data Engineer (Data Bricks) Onsite

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

Job 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.
  

Must-Have Skills:

Azure Databricks, Azure Data Factory, PySpark. Spark - SQL
ADLS

Experience Level

Mid Level