Data Engineer with Azure Databricks

Mandatory Skills - Data Warehousing, Azure Data Engineer, Azure Data Lake, Data Bricks, Pyspark, Python.

Skill to Evaluate - Data Warehousing, Azure Data Engineer, Azure Data Lake, Data Bricks, Pyspark, Python

Experience - 4 to 6 Years

Job Description

- Proficiency in Databricks and experience with Spark for big data processing.
- Solid programming skills in Python or Scala for developing data pipelines.
- Knowledge of SQL and experience with relational databases and data warehousing concepts.
- Familiarity with cloud platforms - Azure, particularly in relation to data storage and processing.
- Understanding of data modeling, ETL processes, and data integration methodologies.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration abilities to work effectively in a team-oriented environment.

Skill Area Tools & Technologies
Data Engineering Databricks, Apache Spark, Delta Lake
Programming Python, SQL, PySpark
Cloud Platforms Azure

Requirements