Note: Only Local Candidates of Dallas,TX
Key Responsibilities:
Interpret and analyze data from various source systems to support data integration and data reporting needs within XYZ.
Identify, analyze, and interpret trends or patterns in complex data sets
Work with team leads to prioritize business and information needs
Prepare high-level ETL mapping specifications.
Develop complex code data scripts (Primarily SQL and Golang, some Python) for ETL
Troubleshoot & determine best resolution for data issues and anomalies
Manage exploratory data analysis to support database and dashboard development, as well as advanced analytics efforts
Assist in development of software technical documentation
Design, specify, implement, and maintain systems using Agile scrum methodology.
Person specification and skills required:
Hands-on experience in Data Platform / Warehouse / Lake engineering: source integration, pipeline development and analytics.
Significant recent experience of Postgres (RDS) and Golang or Python.
Excellent SQL skills, ideally PostgreSQL, PL/pgSQL.
Knowledge of Indexing strategies and query tuning for performance (e.g. Explain Plans).
Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
Ability to clearly communicate capabilities, opportunities, and recommendations to both technical and nontechnical audiences
Deep understanding of data architecture & data modelling best practices and guidelines for different data and analytic platforms.
Desirable
Experience with Master Data Management.
Experience of Data Governance processes. E.g. Data Profiling, Data Quality, Reference Data Management.
Experience with Elastic Search
Experience of Spatial/GIS Database platforms and techniques.
Understanding of the Commercial Real Estate industry.
--
-- Key Responsibilities:
Interpret and analyze data from various source systems to support data integration and data reporting needs within XYZ.
Identify, analyze, and interpret trends or patterns in complex data sets
Work with team leads to prioritize business and information needs
Prepare high-level ETL mapping specifications.
Develop complex code data scripts (Primarily SQL and Golang, some Python) for ETL
Troubleshoot & determine best resolution for data issues and anomalies
Manage exploratory data analysis to support database and dashboard development, as well as advanced analytics efforts
Assist in development of software technical documentation
Design, specify, implement, and maintain systems using Agile scrum methodology.
Person specification and skills required:
Hands-on experience in Data Platform / Warehouse / Lake engineering: source integration, pipeline development and analytics.
Significant recent experience of Postgres (RDS) and Golang or Python.
Excellent SQL skills, ideally PostgreSQL, PL/pgSQL.
Knowledge of Indexing strategies and query tuning for performance (e.g. Explain Plans).
Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
Ability to clearly communicate capabilities, opportunities, and recommendations to both technical and nontechnical audiences
Deep understanding of data architecture & data modelling best practices and guidelines for different data and analytic platforms.
Desirable
Experience with Master Data Management.
Experience of Data Governance processes. E.g. Data Profiling, Data Quality, Reference Data Management.
Experience with Elastic Search
Experience of Spatial/GIS Database platforms and techniques.
Understanding of the Commercial Real Estate industry.
Sana Tabassum Technical Recruiter +1 7324662855 Ext: 6231 |  | |||
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