Azure Databricks Engineer
4 weeks ago
Job Summary: We are seeking a highly experienced Azure Databricks Engineer with 10-15 years of experience in ADF/Databricks development. The ideal candidate will have excellent data modeling understanding and strong communication skills.
The successful candidate will be responsible for designing and building data pipelines using Spark-SQL and PySpark in Azure Databricks, as well as maintaining Lakehouse architecture in ADLS / Databricks.
Key Responsibilities:
- Design and build data pipelines using Spark-SQL and PySpark in Azure Databricks
- Maintain 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
- Collaborate with Data Science and Business Intelligence teams
Requirements:
- Minimum 10-12 years' hands on experience in ADF/Databricks development
- Good data modeling understanding
- Strong communication skills
- 2-5 years of relevant IT experience with good exposure to Cloud technologies
- Experience using Databricks and proficiency in Microsoft Azure platform (incl. ADF and ADLS)
- Experience querying databases and strong programming skills: PySpark, Python, SQL, etc.
Preferred Qualifications:
- Knowledge of distributed systems (e.g., Apache Spark or Databricks)
- Knowledge of Delta Lake and Lakehouse architecture
- Experience with multiple data programming languages (Spark-SQL, PySpark, Pandas)
- Experience with On-premises databases such as SQL server, Oracle etc.
- Experience with version control (e.g., Git), DevOps, CI/CD
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