Senior Data Platform Administrator

The Hartford is seeking a seasoned Senior Data Platform Engineer to join our Cloud Big Data Platform Engineering & Operations team. This role is instrumental in fostering a customer-first mindset and ensuring the stability, scalability, and reliability of our data platforms to support the evolving needs of Data & Analytics applications across the enterprise.

As a technical lead, you will apply your deep expertise in AWS Big Data/EMR infrastructure, Infrastructure as Code (IaC), security, automation and observability to engineer, optimize, and maintain robust, scalable solutions. You will collaborate closely with data engineers to analyze requirements & challenges to recommend platform-driven solutions that maximize performance and efficiency.
** RESPONSIBILITIES*
* ** QUALIFICATIONS
* * Bachelor's degree in computer science, Computer Engineering, or a closely related field (or foreign equivalent). Relevant experience may be obtained through a qualifying post-baccalaureate academic program.

Proficiency in a broad range of tools and concepts including Hadoop, Linux, Python, SQL, Spark, Kerberos, cloud platforms, security protocols, performance tuning, machine learning algorithms, production engineering, job scheduling, and operational support

At least 7 years of progressive and diverse experience in IT, platform administration, database management, analytics or an equivalent combination of education and work experience

At least 3 years of hands-on engineering experience in developing platform solutions on AWS using Infrastructure as Code (Cloud Formation, Terraform, Ansible) and CICD pipelines (Jenkins, Nexus, AWS Code Build, Code Deploy or Code Pipeline). At least 3 years of experience providing architectural guidance and technical direction to developers, or platform administrators Knowledge in data engineering, with exposure to designing and building data applications using database platforms.

Responsibilities should include data ingestion, data preparation, ETL processes, data aggregation, data mining, and the development of database and analytics applications Experience in managing change through Change Management and Incident Management processes

Experience in implementing Reliability Engineering practices and Observability dashboards leveraging Splunk, Dynatrace, Cloud Watch etc. will be a plus Ability to learn new technologies quickly, and perform major job responsibilities proficiently within 6-12 months

Strong analytical ability, problem analysis techniques, and broad knowledge of alternatives technology

Strong communication skills, and the ability to work effectively with business and IT resources
** PREFERRED SKILLS
** Experience in Configuration management using Cloud Formation / Terraform. Advanced experience with programming and/or scripting languages (Python, bash)
* Preferred to have “Cloudera Admin Certification”.This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
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