Spark developer with Scala

Job Description

Overview

At Perficient you ll deliver mission-critical technology and business
solutions to Fortune 500 companies and some of the most recognized brands on
the planet. And you ll do it with cutting-edge technologies, thanks to our
close partnerships with the world s biggest vendors. Our network of offices
across North America, as well as locations in India and China, will give you
the opportunity to spread your wings, too.

We re proud to be publicly recognized as a Top Workplace year a
year. This is due, in no small part, to our entrepreneurial attitude and
collaborative spirit that sets us apart and keeps our colleagues impassioned,
driven, and fulfilled.

Perficient currently has a career opportunity for a Spark Developer proficient
in Scala We are looking for someone to be based in the US, but are flexible on
specific location. Candidate will be expected to work US East Coast hours with
occasional flexibility needed to work with client team based in India.

Job_Overview

One of our large clients is expanding their current data footprint on the cloud
to provide analytics, BI and data APIs. Majority of data will be batch
processed with data validation, data quality and transformation into a
multitude of data platforms such as Redshift, Postgres and Hive.

A Senior Technical Consultant is expected to be knowledgeable in two or more
technologies within (a given Solutions/Practice area). The Senior Technical
Consultant is expected to have strong development and programming skills in
Spark with a focus on Scala/Java and other ETL development experience in the
big data space. You are expected to be experienced and fluent in agile
development and agile tools as well as code repositories and agile SLDC/DevOps
frameworks.

You will work with architects and infrastructure teams to develop, test, deploy
and troubleshoot your code as well as provide input into solutions and design
of the system. You will collaborate with some of the best talent in the
industry to create and implement innovative high quality solutions focused on
our clients' business needs.

Responsibilities
* Work with data engineering team to define and develop data ingestion,
validation, transformation and data engineering code.
* Develop open source platform components using Spark, Scala, Java, Oozie,
Hive and other components
* Document code artifacts and participate in developing user documentation
and run books
* Troubleshoot deployment to various environments and provide test support.
* Participate in design sessions, demos and prototype sessions, testing and
training workshops with business users and other IT associates

Qualifications
* At least 3+ years of experience in developing large scale data
processing/data storage/data distribution systems
* At least 3+ years of experience on working with large Hadoop projects
using Spark and Scala and working with Spark DataFrame, Dataset APIs with
SparkSQL as well as RDDs and Scala function literals and closures.
* Hands-on experience with Hadoop, Hive, Sqoop, Oozie, HDFS
* Experience with ELT/ETL development, patterns and tooling, experience
with ETL tools (Informatica, Talend) preferred.
* Experience with AWS and cloud environments including S3 object storage,
EC2, RDS and Redshift
* Experience with SQL including Postgres, MySQL RDBMS platforms
* Experience with Linux (RHEL or Centos preferred) environments
* Experience with various IDE and code repositories as well as unit testing
frameworks.
* Experience with code build tools such as Maven.
* Fundamental knowledge of distributed data processing systems and storage
mechanisms.
* Ability to produce high quality work products under pressure and within
deadlines with specific references
* Strong communication and collaborative skills
* At least 5+ years of working with large multi-vendor environment with
multiple teams and people as a part of the project
* At least 5+ years of working with a complex Big Data environment
* 5+ years of experience with JIRA/GitHub/Git and other code management
toolsets

Preferred_Skills_And_Education

Bachelors s degree in Computer Science or related field

Certification in Spark, AWS or other cloud platform

Perficient full-time employees receive complete and competitive benefits. We
offer a collaborative work environment, competitive compensation, generous
work/life opportunities and an outstanding benefits package that includes paid
time off plus holidays. In addition, all colleagues are eligible for a number
of rewards and recognition programs including billable bonus opportunities.
Encouraging a healthy work/life balance and providing our colleagues great
benefits are just part of what makes Perficient a great place to work.

More_About_Perficient

Perficient is the leading digital transformation consulting firm serving Global
2000 and enterprise customers throughout North America. With unparalleled
information technology, management consulting and creative capabilities,
Perficient and its Perficient Digital agency deliver vision, execution and
value with outstanding digital experience, business optimization and industry
solutions.

Our work enables clients to improve productivity and competitiveness; grow and
strengthen relationships with customers, suppliers and partners; and reduce
costs. Perficient's professionals serve clients from a network of offices
across North America and offshore locations in India and China. Traded on the
Nasdaq Global Select Market, Perficient is a member of the Russell 2000 index
and the S&P SmallCap 600 index.

Perficient is an equal opportunity employer and all qualified applicants will
receive consideration for employment without regard to race, color, religion,
sex, national, origin, disability status, protected veteran status, or any
other characteristic protected by law.

Disclaimer: The above statements are not intended to be a complete statement of
job content, rather to act as a guide to the essential functions performed by
the employee assigned to this classification. Management retains the discretion
to add or change the duties of the position at any time.

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