Data Analytics Engineer
Company: Applied Information Sciences
Location: Chevy Chase
Posted on: May 16, 2022
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Job Description:
Intro:You are looking to transform your data analysis experience
to a modern data stack, and you are passionate about delivering
well-defined, transformed, tested, documented data sets in a manner
that empowers end users to answer their own questions. We have the
right opportunity for you to grow your skills and career.We are
hiring a Data Analytics Engineer to work in a fast-moving,
forward-leaning environment to build a full featured platform which
will serve as the backbone for their big data and data analytics
innovations. We are looking for modern data enthusiasts who want to
make a big impact, deliver great technology, and work on an
exciting team.What You'll Be Doing:Work in a team using cutting
edge technologies to solve challenging business problems and build
solutionsInteract directly with our client(s) to understand their
needs and meet, or exceed their expectations by meeting delivery
deadlinesWork in an agile environment as a member of a scrum team
that works in parallel with multiple additional scrum teams within
the programLearn new technologies and be aware of industry
standards, best practices, and trends.Design, implement, and test
cloud-based enterprise data warehouse solutionsLocation and Travel
Details:This is a remote position with occasional travel once COVID
restrictions are lifted.Profile of Success:Strong data analysis and
modeling skillsProblem solving, consulting mindsetBe able to
facilitate and elicit business and technical requirements
definition discussions with business and technical
stakeholders.Expert in SQL, including hands-on experience with
developing SQL to transform dataBe able to construct SQL queries
for source data profiling and analysisBe able to construct SQL
queries for writing test cases to validate deployed data warehouse
solutionsExperience with source data management and data
ingestionWorking knowledge of software engineering practices like
version control, testing and continuous integrationBe able to
review and understand Conceptual, Logical and Physical data
modelsExperience with Data Warehousing techniques: ETL/ELT, Type 2
SchemasBe able to construct data element source to target mappings
(STMs) as part of requirementsExperience writing test plans, test
cases, and testing ELT/ETL codeand data model integrityExperience
in designing and implementing efficient and robust ETL/ELT
workflows, schedulers, and event-based triggersDesirable
Skills:Knowledge of advanced source data profiling techniques and
data quality measuresExperience in working with YAMLExperience with
working with data models developed using the Data Vault 2.0
methodologyExperience with data build tool (dbt)Experience in
working with Azure DevOps and Git for source control
managementExperience in working with Azure DevOps build release
pipelines for release deploymentsExperience in working with Azure
data movement and transformation capabilities (Azure Data Factory,
Data Lake Analytics, Data Bricks, Stream Analytics)Experience in
working with the Azure storage technologies (Azure Data Lake, Azure
SQL Data Warehouse, Azure SQL Database)About AIS:AIS, Dedicated to
Our PeopleAIS employees can spend their entire career at AIS doing
challenging, rewarding work and reach their desired level of
achievement and responsibility. We offer the opportunity to move
up, without the obligation to move out of a position where one
excels. We are committed to our employee's success; however, they
define it.It's our dedication to our employees that inspired our
leadership to invest in our future and become partially
employee-owned through an Employee Stock Ownership Program
(ESOP).Our employees are our greatest strength, and we do all that
we can to serve them. We invest in technology as early adopters,
allowing us to create transformative and innovative solutions for
our customers while exposing our team to cutting edge technology.We
hire outstanding individuals who are committed to curiosity,
passionate about emerging technology, and who are excited to find
innovative solutions for the biggest tech challenges facing
international brands and government agencies today.We Invest in
Individuals Committed to InnovationAIS is seeking professionals of
a certain character and level of excellence. People that we can
learn from and that we can help grow to achieve their personal
career goals.We are looking for:Smart people with a passion for
technologyStrong technical capabilities with a consultancy
mindsetClose involvement with local technical communitiesA
willingness to think outside of the box to provide innovative
solutions to clientsAbility to solve challenging technical business
problemsSelf-directed professionalsOur Core ValuesClient
SuccessContinued Learning and Technical ExcellenceStrong Client
RelationshipsCitizenship and CommunityEEO Statement:Applied
Information Sciences is an Equal Opportunity Employer and does not
discriminate on the basis of race, national origin, religion,
color, gender, sexual orientation, age, disability, protected
veteran status or any other basis covered by law. Employment
decisions are based solely on qualifications merit, and business
need.
Keywords: Applied Information Sciences, Washington DC , Data Analytics Engineer, Engineering , Chevy Chase, DC
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