Data Engineer - Consultant (Charlotte Based)
Company: Clarity Insights
Posted on: March 28, 2020
Do YOU love working with Data in machine learning, real-time
analytics, or Big Data in a Cloud environment? Do you find that you
want to choose other technologies but work for a vendor that limits
the options that you can recommend? We are looking for a Data
Expert to help us help our clients evaluate and implement big data
and advanced analytics solutions in the Cloud. At Clarity Insights,
we only provide Data & Analytics expertise. It's all we've ever
done and we love specializing in it and working on hard
problems.Clarity Insights is the largest independent professional
services firm focused exclusively data analytics solutions. Our
Data Engineering practice has one vision: to drive better business
outcomes through data and analytics. We provide data analytics
advisory and solution delivery consulting services. We believe that
nothing sells like great delivery, and are committed to our people
and client delivery excellence. With continuing, aggressive growth
plans for the next five years, Clarity is seeking outstanding data
analytics leaders to successfully qualify, propose, close and lead
client solution delivery.As a Data Engineer for Clarity Insights
you will not only be building data pipelines to efficiently and
reliably move data across systems, but also building the next
generation of DW/Big data solutions to enable us to take full
advantage of this data. In this role, your work will broadly
influence our client's data consumers and analysts. You will get
the opportunity to work with focused and scaled objectives at high
profiled clients that have some of the most challenging problems to
take on. Responsibilities
- Hands-on self-directed engineer who enjoys working in
- Develops highly scalable, end to end process to consume,
integrate and analyze large volume, complex data from sources such
as Hive, Flume or Kafka.
- Integrate datasets and flows using a variety of open source and
best-in-class proprietary software.
- Profile and analyze complex and large datasets.
- Collaborate and validate implementation with other technical
- Coordinates and leads internal meetings.Basic Qualifications
- Bachelors Degree and 3+ years of work experience
- Experience building processes around data transformation, data
structures, metadata, dependency and workload management with
object-oriented scripting languages such as Python or other
object-oriented/object-function languages (such as Java, C++ or
Scala) is required.
- Strong SQL experience analyzing, transforming and integrating
high volume, complex data sources with considerations for accuracy
and efficient performance.
- Experience transforming data out of and into Hadoop/Hive is
- Fluency in Linux development and common development-related
- Demonstrated experience implementing custom ETL solutions in
Data Warehousing environments.
- Expertise creating efficient data structures with
considerations for distribution, segmentation, colocation, etc.,
for ELT and analysis access paths; understanding of data management
concepts such as 3NF, Dimensional, Data Vault, NoSQL/Key-value and
their applications for data management and analysis.
- Ability to analyze high volume data against business
requirements to identify deliverables, gaps and
- Passion to build business driven, data solutions regardless of
- Excellent communication skills with the ability to identify and
communicate data driven insights and technical approach.
- Ability to contribute independently and self-manage delivery in
a collaborative environment.
- (Some travel required - 10-20%)Why Clarity Insights, Why
Consulting and Why Now?We don't try to be everything to everybody
all the time. We specialize in Data & Analytics and will remain a
platform and tool agnostic company so you can grow technically
throughout your career. It sounds ridiculous but you actually need
to be 100% technical and 100% business with strategy because we
don't hire non-communicative robots who have a one size fits all
approach. We often could speak to a CFO or Head of Underwriting
about a business or finance problem, and based on the need for
real-time and affordable scalability, we can outline - in terms
they can understand - why they should think about a cloud solution
for big data and analytics. If we step across to the DevOps lab, we
can easily pick up on a conversation about Apache committers, OSF,
full stack development, microservices, containers and much more.
We're not trying to boil the ocean. We want to grow from 400 people
to 1700 people in 4 years to take the market an accessible set of
consulting skills. We have a lot of fun together. Most people join
here and stay here for the people. That said, we are popular so we
do rack up some travel miles. I have a million things to share
about why that may change and why that must stay the same for now,
but here's a suggestion - if you LOVE Cloud Computing for Big Data
and/or Advanced Analytics, Machine Learning, etc we should talk.
Clarity Insights is an Equal Employment Opportunity Employer. We
believe in treating each employee and applicant for employment
fairly and with dignity. GLDR
Keywords: Clarity Insights, Charlotte , Data Engineer - Consultant (Charlotte Based), Engineering , Charlotte, North Carolina
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