Creative Solutions Services, LLC
Azure Data Engineer
Creative Solutions Services, LLC, Washington, District of Columbia, us, 20022
Overview
Location: Washington, DC (Onsite)
Contract Duration: 12 Months
Job Title: Azure Data Engineer
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.
5+ years of experience with Azure(ADF, synapse) and Databricks in production environments.
Minimum Years of Experience 8-10 years
Certifications Needed BE
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Handson experience with Spark, Delta Lake, and PySpark.
Strong communication and customer-facing skills
Perform root cause analysis and performance tuning using Spark UI, DAGs, and logs.
#J-18808-Ljbffr
Contract Duration: 12 Months
Job Title: Azure Data Engineer
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.
5+ years of experience with Azure(ADF, synapse) and Databricks in production environments.
Minimum Years of Experience 8-10 years
Certifications Needed BE
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Handson experience with Spark, Delta Lake, and PySpark.
Strong communication and customer-facing skills
Perform root cause analysis and performance tuning using Spark UI, DAGs, and logs.
#J-18808-Ljbffr