Job Description :

Lead Data and Analytics Engineer

Profile Summary:

Lead Data and Analytics Engineer will be a senior member of data and analytics engineering chapter. This is a hands-on (very important) technology engineering leadership role focused on building AWS data & analytics engineering capability in an agile environment with advance level expertise in Amazon Web Services (AWS) cloud technologies and will be instrumental in building NextGen data analytics engineering muscles across the organization. This role will include mentoring talent and creating capabilities supporting data analytics engineering functions across agile squads and crews within the company. Partner closely with the Data and Analytics Engineering Chapter Lead, Data Architects, Chief IT Architect, and business areas squads to provide business capabilities, assess capabilities needed and provide data engineering solution options using NextGen data technologies in an AWS Cloud environment to our agile crews.

Profile Responsibilities:

  • Develop and institutionalize a pragmatic and actionable enterprise scale data and analytics framework using NextGen data technologies in an AWS Cloud environment that enables buildout of data solutions from ground up across various layers to solve business problems
  • Define a pragmatic and actionable enterprise strategy for data management technologies and tools for Data integration, Data API Services, Reporting, Visualization, Business Intelligence, by understanding user needs / pain points and ensuring usability across various stakeholders.
  • Participate in talent strategy and build technology capabilities in Data and Analytics Engineering Chapter.
  • Passionate for staying up to date on continuously evolving AWS Cloud services and technologies in AWS Data & Analytics engineering space.
  • Lives and breathe agile ways of working at every step of the solution development and establish high degree of autonomy while delivering key results.
  • Mission driven to help technology pillar of RLUS strategy to become a data-driven, AI-enabled company obsessed with improving customer outcomes

Technical & Functional Skills:

  • A hands-on technical leader with expert level skills in ground-up AWS data & analytics platform development
  • Strong background and experience in AWS Data Analytics technologies with demonstrated accomplishments and certifications i.e., an unexpired AWS Solutions Architect Associate and AWS Data Analytics Specialty (Certificate validation is required)
  • Expert level knowledge and understanding of the Enterprise Data Architecture and modern Cloud based data & analytics technologies
  • Good understanding of the Software Engineering, Data Modelling, Automation Technologies, Test Driven Development, and Agile Ways of Working
  • Demonstrated experience building and running full AWS data analytics platform for end-to-end data & analytics platforms fulfilling the needs of operational to advance analytics use cases
  • Demonstrated ability to organize delivery in a highly matrixed environment with heavy reliance on vendors and in cross functional Agile squad structures
  • Life & Annuity insurance and/or Financial Services experience is a Plus

Non-Technical Requirements:

We are a mission driven truly agile & learning organization and looking for team members who live and breathe our guiding principles as below

  • Do the right thing
  • Obsess about our customers
  • Champion diversity and inclusion
  • Lead with resolution
  • Think on our feet
  • Make it clear

Education Required:

Bachelor's in computer science or related field

Experience Required:

10+ years of professional experience in technology of which at least 3-5 years is in AWS data & analytics technology hands on roles leading, coaching and mentoring high performing data and analytics engineers. Life & Annuity insurance and/or Financial Services experience is a Plus

Location: West Chester, PA (preferred) or Atlanta, GA or open to remote. If remote will be required to travel once a quarter.


Required Skills : Expert level, hands on Lead Engineer with AWS Data Services o Lead by responsibility.. not concerned if they have had a lead title before, but need to have exp. with lead responsibilities ? Need to be a problem solver ? Can mentor and guide other engineers o Certified Specialist - at least one of these ? AWS Solutions Architect Associate ? AWS Data Analytics Specialty (preferred) ? AWS Machine Learning Specialty Group is responsible for Data Ingestion & Data Engineering (Team 1) as well as, Data Science & Machine Learning (Team 2) Must Haves o AWS Data Ingestion Services ? Glue, Lake Formation, Lambda, Quicksight, SageMaker, DataBrew, DataWrangler, RedShift ? Don t need to be an expert in all of these, but should be familiar with all and very strong in most o Languages ? Python and PySpark (ideally both) ? Scala is a plus Pluses o Familiar with Data Modeling o Big Data exp. (Hadoop) o DevOps exp. ? Containerization (ECS, Kubernetes, Docker, etc) ? CI/CD pipelines (not creating from scratch) o Any Financial Services or Insurance exp.
Basic Qualification :
Additional Skills :
Background Check :Yes
Drug Screen :Yes
Notes :They can do direct hire or 6 month contract to hire. Subvending is allowed as long as all parties understand candidates will be converted at 6 months. Candidates can be remote but will be asked to travel once a quarter.
Selling points for candidate :
Project Verification Info :
Candidate must be your W2 Employee :No
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :AWS Partner Network
Master Job Title :Cloud: Applications Developer
Branch Code :Connecticut
             

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