Big Data Architect IT Consultant Master
1 day ago
At Serigor Inc., we are seeking an experienced IT Consultant to support the design, development, implementation, and maintenance of an enterprise Big Data solution as part of our Data Modernization Effort.
Job Summary:The ideal candidate will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
Responsibilities:- Coordinate IT project management, engineering, maintenance, QA, and risk management.
- Plan, coordinate, and monitor project activities.
- Develop technical applications to support users.
- Develop, implement, maintain, and enforce documented standards and procedures for the design, development, installation, modification, and documentation of assigned systems.
- Provide training for system products and procedures.
- Perform application upgrades.
- Perform monitoring, maintenance, or reporting on real-time databases, real-time network and serial data communications, and real-time graphics and logic applications.
- Troubleshoot problems.
- Ensure project life-cycle is in compliance with District standards and procedures.
- Bachelor's degree in Information Technology or related field or equivalent experience.
- 5 years of experience implementing Big Data storage and analytics platforms such as Databricks and Data Lakes.
- Knowledge of Big Data and Data Architecture and Implementation best practices.
- 5 years of experience with deployment of data tools and storage on cloud platforms such as Microsoft Azure.
- Knowledge of Data-centric systems for the analysis and visualization of data, such as Tableau, MicroStrategy, ArcGIS, Kibana, Oracle.
- 10 years of experience querying structured and unstructured data sources including SQL and NoSQL databases.
- 5 years of experience modeling and ingesting data into and between various data systems through the use of Data Pipelines.
- 5 years of experience with implementing Apache data products such as Spark, Sedona, Airflow, Atlas, NiFi, Hive, Impala.
- 3 years of experience with API / Web Services (REST/SOAP).
- 3 years of experience with complex event processing and real-time streaming data.
- 3 years of experience with deployment and management of data science tools and modules such as JupyterHub.
- 3 years of experience with ETL, data processing, analytics using languages such as Python, Java or R.
- Highly desired: 3 years of experience with Cloudera Data Platform.
- 16+ years of experience planning, coordinating, and monitoring project activities.
- 16+ years of experience leading projects, ensuring they are in compliance with established standards/procedures.
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