DATA ANALYST (Hadoop, Python, SQL)

Hiring for a government client in Dubai.

Manages and participate in the management of Data Management projects executed by the Data Management Section.

Assists, supports and follows-up on strategic data related projects, products and initiatives executed by other agencies in client.

Assists and follows-up on the implementation of strategic data related systems and applications, procedures, policies and guidelines.

Ensures completeness, maintenance and accuracy of data governance within client and the Data Science and Analytics systems and environments including metadata, operating models and standards.

Maintains current and future data architecture and environments of client s Data Science and Artificial Intelligence lab including tuning, monitoring and altering data model, and managing user groups.

Configures and updates the Data Science and Artificial Intelligence Lab components to ensure alignment with best practices and strategic vision.

Manages the improvement of client Data Science and Artificial Intelligence Lab and Data Management Section functions.

Creates and manages users access security and permissions to the environment within client s Data Science and Artificial Intelligence lab.

Manages the deployment of approved data products developed within the Data Science and Artificial Intelligence Lab onto target systems/applications.

Requirements

Bachelor degree in Computer Engineering or Computer Science/IT or equivalent from recognized university.

6 years of relevant experience in a large and active service organization.

Experience in Business Intelligence or Data Analysis.

Working knowledge of PDW, Hadoop, SQL and RDBMS systems (DB2, Oracle, SQL Server, etc.)

Strong knowledge in programming languages such as Scala and Python3, and Experience with common data science toolkits, such as R, Scikit-learn, MatLab, etc.

Excellent understanding of Machine Learning techniques and algorithms, including supervised (Random Forest, XGBoost, Neural Networks, etc.) and non-supervised (K-Means, DBScan, etc.). with experience in deploying machine learning models in production using container-based technologies and orchestration systems like Kubernetes, as well as ML pipelines with Oozie and/or Airflow.

Excellent understanding of data visualization tools based on Python (Bokeh, Matplotlib, Pyplot, etc.), R (GGPlot2), JavaScript (D3Js, HighChart, etc.).

Experience in using query languages such as SQL, Hive, Pig, and with NoSQL databases, such as MongoDB, Cassandra, HBase, Neo4J, etc.

Bachelor degree in Computer Engineering or Computer Science/IT or equivalent from recognized university. 6 years of relevant experience in a large and active service organization. Experience in Business Intelligence or Data Analysis. Working knowledge of PDW, Hadoop, SQL and RDBMS systems (DB2, Oracle, SQL Server, etc.) Strong knowledge in programming languages such as Scala and Python3, and Experience with common data science toolkits, such as R, Scikit-learn, MatLab, etc. Excellent understanding of Machine Learning techniques and algorithms, including supervised (Random Forest, XGBoost, Neural Networks, etc.) and non-supervised (K-Means, DBScan, etc.). with experience in deploying machine learning models in production using container-based technologies and orchestration systems like Kubernetes, as well as ML pipelines with Oozie and/or Airflow. Excellent understanding of data visualization tools based on Python (Bokeh, Matplotlib, Pyplot, etc.), R (GGPlot2), JavaScript (D3Js, HighChart, etc.). Experience in using query languages such as SQL, Hive, Pig, and with NoSQL databases, such as MongoDB, Cassandra, HBase, Neo4J, etc.