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AWS Cloud Data Engineer

Company: Burtch Works
Location: Arlington
Posted on: May 12, 2022

Job Description:

DESCRIPTION:
We are working with a fast-moving insurance organization that is looking for a hands-on AWS Cloud Data Engineer to help set up data lake house.

Position Summary:

Professional with deep domain hands on experience, technical expert and go to person for all things related to AWS cloud Data and Analytical services (storage, movement, and analytical cloud services). Responsible for data engineering delivery/implementation on AWS cloud to include taking full responsibility to ensure a very secure data infrastructure. You will be the lead data engineering technical point of contact. Solid planning, organizing and communication competences are required. You will be responsible for presenting cloud data solutions to given use cases, giving guidance on options in architecting AWS data solutions and concisely presenting the pros and cons and alternatives to proposed solutions. A major component of this role will be workforce transformation where you will provide knowledge transfer, operational guidance, and training of team members on AWS cloud technologies.

Responsibilities:

Provide data and analytical solutions to ensure efficient manipulation, organization and sharing of information, data and/or master data in a data-lake-house, data warehouse and data-mart constructs.
Collaborate with implementation partners to define the appropriate Cloud Database solutions, such as AWS Redshift, Database Migration Services, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/Aurora, and Amazon Kinesis.
Define access patterns, storage methods and integration patterns for the movement and maintenance of data into unstructured, relational and NoSQL databases.
Design and maintain diagrams of data flows and pipelines.
Provide cloud technical leadership and bring innovative cloud technologies to the enterprise.
Develop and design models for complex analytical and data warehouse/mart systems including performing tasks related to database design, data analysis, data quality, metadata management and support.
Work with diverse data sets in a wide variety of formats and employed in a wide variety of highly siloed systems.
Expert in AWS cloud services for the designing and building of complex ETL processes and the migration of data from a data center, third parties and others to a cloud environment

Job Requirements:

Bachelor's degree or minimum 5 years of equivalent work experience.
Excellent verbal and written concise communication skills with great attention to detail and accuracy.
AWS Certified Database, Data Analytics or Machine Learning specialty certifications.
AWS Solutions Architect - Associate certification within past three years.
Solutions architecture experience in an enterprise environment with an emphasis on data systems.
Specific experience designing, executing, and supporting AWS data lake-houses at scale.
Experience designing, optimizing, and maintaining relational and non-relational databases including MySQL, MS SQL, Redshift, AWS RDS, and other NoSQL databases.
Experience with the design and building of ETL packages, APIs, data pipelines and connecting these to BI tools and other applications/ entities.
Knowledge of data movement and data presentation tools such as Informatica, MS SSIS, AWS Glue, Cognos, Tableau, QlikSense and AWS QuickSight.
Ability to multi-task, prioritize deadlines and deliver production ready results.
Ability to work independently or as part of a team and keep abreast of new/emerging data cloud services.
Ability to transfer knowledge to team members and seeks opportunities for continuous improvement.

Keywords: AWS, Redshift, Cloudwatch, Data Lake, s3, glue, emr, etl, api, tableau, congnos, qliksense, quicksight, SQL, MySQL, NoSQL, RDS, Ec2, Kinesis, Aurora

Keywords: Burtch Works, Arlington , AWS Cloud Data Engineer, Engineering , Arlington, Virginia

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