Azure Data Engineer

Job Title: Azure Data Engineer
Location: Washington, DC (Onsite)

Duration: Months



Must Have Skills:

• Azure Databricks

• PowerBI



Detailed Job Description:

Key Responsibilities:

• Monitor and troubleshoot Databricks jobs.

• Possess a strong understanding of database fundamentals, including relational database design and PL/SQL.

• Have substantial hands on experience and knowledge in PowerBI.

• Work closely with clients and support teams to review and manage deliverables.

• Design and optimize ETL workflows using Databricks, Azure Data Factory.

• Manage data ingestion.

• Maintain code versioning using Devops and follow SDLC best practices.

• Perform root cause analysis and performance tuning using Spark UI, DAGs, and logs.



Required Skills & Qualifications:

• Hands-on experience with Spark, Delta Lake, and PySpark.

• Proficiency in SQL, Python, and cloud services (Azure).

• Experience with Azure Synapse, and Blob Storage.

• Familiarity with CI/CD pipelines and monitoring tools.

• Strong communication and customer-facing skills.

• Proficiency in PowerBI and SQL or PL/SQL.

• Strong understanding of database design and data modeling.

• Excellent problem-solving skills and attention to detail.

• Strong communication and team collaboration skills.

• + years of experience with Azure(ADF, synapse) and Databricks in production environments.



Minimum Years of Experience:

- years



Certifications Needed:

BE



Top responsibilities you would expect the Subcon to shoulder and execute:

• Handson experience with Spark, Delta Lake, and PySpark.

• Strong communication and customerfacing skills

• Perform root cause analysis and performance tuning using Spark UI, DAGs, and logs.