Hi
Hope you are doing well
Please find the job description given below and let me know your interest.
Position: Azure Databricks Engineer (ETL & Orchestration)
Location: Seattle WA (Onsite Relocation; OK)
Duration: 6 Months
Job Description
Role Overview
Design schedule and orchestrate tasks on Azure Databricks within ETL pipelines. Handle incident resolution application maintenance health checks and optimization of high-traffic services. Automate operations troubleshoot workflows and collaborate with IT business owners and customers in an Agile environment (stand-ups demos grooming solutioning).
Key Responsibilities
-
Build and manage big data ETL pipelines on Databricks.
-
Integrate and optimize data flows with Azure Data Lake Storage (ADLS).
-
Use Apache NiFi for data ingestion transformation and routing.
-
Perform troubleshooting code optimization and routine automation.
-
Support load-balanced services and collaborate cross-functionally.
Required Skills (Must-Have)
-
Strong Azure Databricks expertise for ETL development and big data pipelines.
-
Proficiency in Azure Data Lake Storage (ADLS) and cloud integrations.
-
Hands-on Apache NiFi for data ingestion/transformation/routing.
-
Solid grasp of cloud data engineering/storage systems.
-
Strong problem-solving for ETL troubleshooting and optimization.
Good-to-Have Skills
-
Azure Synapse Data Factory (ADF) Functions.
-
Streaming/real-time data integration.
-
Cross-functional collaboration and clear communication.
Desirable: Microsoft Azure Databricks PySpark.
Please share your updated resume and suggest the best number & time to connect with you
Hi Hope you are doing well Please find the job description given below and let me know your interest. Position: Azure Databricks Engineer (ETL & Orchestration) Location: Seattle WA (Onsite Relocation; OK) Duration: 6 Months Job Description Role Overview Design schedule and orchestrate tas...
Hi
Hope you are doing well
Please find the job description given below and let me know your interest.
Position: Azure Databricks Engineer (ETL & Orchestration)
Location: Seattle WA (Onsite Relocation; OK)
Duration: 6 Months
Job Description
Role Overview
Design schedule and orchestrate tasks on Azure Databricks within ETL pipelines. Handle incident resolution application maintenance health checks and optimization of high-traffic services. Automate operations troubleshoot workflows and collaborate with IT business owners and customers in an Agile environment (stand-ups demos grooming solutioning).
Key Responsibilities
-
Build and manage big data ETL pipelines on Databricks.
-
Integrate and optimize data flows with Azure Data Lake Storage (ADLS).
-
Use Apache NiFi for data ingestion transformation and routing.
-
Perform troubleshooting code optimization and routine automation.
-
Support load-balanced services and collaborate cross-functionally.
Required Skills (Must-Have)
-
Strong Azure Databricks expertise for ETL development and big data pipelines.
-
Proficiency in Azure Data Lake Storage (ADLS) and cloud integrations.
-
Hands-on Apache NiFi for data ingestion/transformation/routing.
-
Solid grasp of cloud data engineering/storage systems.
-
Strong problem-solving for ETL troubleshooting and optimization.
Good-to-Have Skills
-
Azure Synapse Data Factory (ADF) Functions.
-
Streaming/real-time data integration.
-
Cross-functional collaboration and clear communication.
Desirable: Microsoft Azure Databricks PySpark.
Please share your updated resume and suggest the best number & time to connect with you
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