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Objectives and Responsibilities of the Senior Data EngineerManagement and Strategy: The managerial role of the Senior Data Engineer is primarily for overseeing activities of the junior data engineering teams, ensuring proper execution of their duties and alignment with business vision and objectives.

Collaboration and Support: The Senior Data Engineer plays a collaborative role where he works closely with the businesss Data and Analytics teams, gathering technical requirements for exceptional data governance across the department and the business at large.

In this collaboration, the Senior Data Engineer works the data analysts, data warehousing engineers, and data scientists in finding and applying best practices within the Data and Analytics department as well as defining the businesss data requirements, which will ensure that the collected data is of a high quality and optimal for use across the department and the business at large.

The Senior Data Engineer will also work with senior data science management and departments beyond the Data and Analytics department in analyzing and understanding data sources, participating in design, and providing insights and guidance on database technology and data modeling best practices.

In this capacity, the Senior Data Engineer will further be required to draw performance reports and strategic proposals form his gathered knowledge and analyses results for senior data science leadership.

It is also the role of the Senior Data Engineer to oversee, design, and develop algorithms for real-time data processing within the business and to create the frameworks that enable quick and efficient data acquisition.

The candidate must have a demonstrated experience in building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data infrastructure inclusive of relational databases such as SQL, Hadoop, Spark and column-oriented databases such as Redshift, MySQL, and Vertica.

The Senior Data Engineer oversees and manages junior data engineering teams and to ensure effective management, he must be capable of conveying information and instructions clearly down the line to the junior team.

The candidate will demonstrate an ability translate algorithms provided by senior data science management and implement them in as well as strong knowledge in Linux, OS tools, and file-system level troubleshooting.

The Senior Data Engineer will be a result-driven individual, be passionate and a self-starter, be proactive requiring minimal supervision, be highly organized, have an ability to handle multiple tasks and meet tight deadlines, be a creative and strategic thinker, work comfortably work in a collaborative setting, work comfortably with senior departmental leadership, and demonstrate an ability to remain calm during times of uncertainty and stress, inspiring the same in his team.

The candidate must be a people person who is able to form strong, meaningful, and lasting connections with others, enabling smooth and continued collaborative relationships, earning him the trust of his juniors who will readily follow in his directives, and gaining the confidence of senior data science leadership.

Management and Strategy: The managerial role of the Senior Data Engineer is primarily for overseeing activities of the junior data engineering teams, ensuring proper execution of their duties and alignment with business vision and objectives.

Collaboration and Support: The Senior Data Engineer plays a collaborative role where he works closely with the businesss Data and Analytics teams, gathering technical requirements for exceptional data governance across the department and the business at large.

In this collaboration, the Senior Data Engineer works the data analysts, data warehousing engineers, and data scientists in finding and applying best practices within the Data and Analytics department as well as defining the businesss data requirements, which will ensure that the collected data is of a high quality and optimal for use across the department and the business at large.

The Senior Data Engineer will also work with senior data science management and departments beyond the Data and Analytics department in analyzing and understanding data sources, participating in design, and providing insights and guidance on database technology and data modeling best practices.

The candidate must have a demonstrated experience in building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data infrastructure inclusive of relational databases such as SQL, Hadoop, Spark and column-oriented databases such as Redshift, MySQL, and Vertica.

The Senior Data Engineer will be a result-driven individual, be passionate and a self-starter, be proactive requiring minimal supervision, be highly organized, have an ability to handle multiple tasks and meet tight deadlines, be a creative and strategic thinker, work comfortably work in a collaborative setting, work comfortably with senior departmental leadership, and demonstrate an ability to remain calm during times of uncertainty and stress, inspiring the same in his team.

The candidate must be a people person who is able to form strong, meaningful, and lasting connections with others, enabling smooth and continued collaborative relationships, earning him the trust of his juniors who will readily follow in his directives, and gaining the confidence of senior data science leadership.

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