Greystar Management Services, LLC
Real Estate
DataOpsEngineer
“DataOps Engineer at Greystar Management Services, LLC. Skills: DataOps, Databricks, Azure Data Services, Data Pipelines, Data Observability, AirFlow. Execute enterprise-scale data operations, ensuring high availability, performance, and governance of data platforms. Ensure successful Operations and Support of the data platform, manage the Data CAB, seamless data ingestion, transformation, governance, and delivery across business domains”
What You'll Achieve.
Ensuring high availability, performance, and governance of data platforms; Ensuring accuracy and timely delivery of the data to the business; Driving customer satisfaction; Ensuring that the data pipelines complete within the provided
Industry & Context.
Troubleshoot and resolve data-related issues; Identify performance tuning opportunities; Applying deep skills to find the root cause of any failed data pipeline
100% Telecommuting permitted
What They're Looking For.
Must Have
Master’s degree in Computer Engineering, Information Technology, or related field and seven (7) years of experience in the job offered or in a DataOps Engineer-related occupation, Demonstrable expertise in Databricks, Azure Data Services, and cloud-native data, Demonstrable understanding of ITSM frameworks (such as ITIL or similar) and experience implementing operational processes, Demonstrable experience managing, monitoring and supporting data pipelines written in PySpark, ADF, Synapse, SQL Server, Python and Boomi to support data integration, transformation, and, Demonstrable experience in implementing the Data Observability tools and utilizing them to ensure that effectiveness and efficiency of the overall Data Platform using Databricks and Azure, Demonstrable experience in creating and maintaining DAGs using AirFlow, orchestrating data pipelines, identifying performance tuning opportunities, and ensuring that the data pipelines complete within the provided, Demonstrable experience includes identifying data anomalies using the data quality tools within Databricks, exposing these in PowerBI, and applying deep skills to find the root cause of any failed data pipeline
Nice to Have
Bachelor’s degree in Computer Engineering, Information Technology, or related field and ten (10) years of progressive experience in experience in the job offered or in a DataOps Engineer-related occupation
What You'll Do.
Execute enterprise-scale data operations
ensuring high availability
and governance of data platforms
Ensure successful Operations and Support of the data platform
seamless data ingestion
and delivery across business domains
Responsible for establishing and maintaining SLAs and contributing into the five pillars of Data Observability
and accuracy within the design and development of the data pipelines
Implement and maintain data security solutions on the data models based on the legal
Perform deployments and deliver operational support activities related to the development
and support aspects related to the data pipelines – ensuring accuracy and timely delivery of the data to the business
Ensure data quality and integrity through implementation and execution of data validation and monitoring processes
Troubleshoot and resolve data-related issues by serving as the L2 support for tickets
Document operational processes and keep documentation updated
Ensure that appropriate documentation exists for pipelines and integrations
Generate a variety of operational reports such service ticket metrics
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams, including BI/Analytics, data scientists, business analysts, product owners and business stakeholders related to the operational processes – driving customer satisfaction; Collaborate with the Data Engineering team, Product Owners and business stakeholders as needed
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