This job ad has been posted over 40 days ago...
0

applicants

Full-time Big Data/ Data Engineer

at dinesh_k in California

Job Title : Big Data/ Data Engineer/ Hadoop/  Spark
Location : Irvine, CA
Duration : Long Term

Note: Only GC, USC, GC-EAD, TN Visa

Job Description:

Data flow design and implementation:
Create and maintain optimal data pipeline architecture.
Gather and process large, complex, raw data sets at scale (including
writing scripts, web scraping, calling APIs, write SQL queries, etc.) that meet
functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating
manual processes, optimizing data delivery, re-designing infrastructure for
greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation,
and loading of data from a wide variety of data sources using SQL and ?big
data? technologies.
Work with stakeholders including the Business, Product, Data and Design
teams to assist with data-related technical issues and support their data
infrastructure needs.
Create data tools for analytics and engineering team members that assist
them in building and optimizing our product into an innovative industry leader.
Be a data expert to strive for greater functionality in our data systems.
Data solutions development:

Employing your skills in designing, developing and delivering world class
data algorithmic artifacts, including documentation and coding; coordinate data
algorithmic development with infrastructural development
Work closely with our engineering team to integrate your amazing
innovations and algorithms into our products.
Research and apply advanced algorithms and methods involving data mining,
statistical analysis and machine learning techniques
Process unstructured data into a form suitable for analysis ? and then do
the analysis.
Support business decisions with ad hoc analysis as needed.
Master third party systems and interfaces, including: data available by the
parties, API to be used for obtaining the data, limitations related to these
interfaces
Excellent subject matter expertise in designing algorithms, business logics
to automate commerce process flows.
Apply your broad-based data development expertise to create practical and
innovative solutions
Efficiently implement clean, maintainable, and testable data solutions with
high availability, blazing speed in performance and fault tolerant.
Participate in agile project execution and provide accurate work effort
estimates
Apply excellent communications skills, creativity and practical knowledge
to benefit our customers
What you bring to the role:
Bachelor's degree in Computer Science, Engineering, Science and Math or
related technical discipline is required
Preferred: an MBA (or equivalent) from a top-tier institution, or
equivalent business experience preferred
7-10 years of technical experience, with at least 5+ years of experience
with web services development and middleware applications or Master?s degree
plus 5-7 years of technical experience.
Advanced working SQL knowledge and experience working with relational
databases, query authoring (SQL) as well as working familiarity with a variety
of databases.
Experience building and optimizing ?big data? data pipelines, architectures
and data sets.
Experience performing root cause analysis on internal and external data and
processes to answer specific business questions and identify opportunities for
improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata,
dependency and workload management.
A successful history of manipulating, processing and extracting value from
large disconnected datasets.
Working knowledge of message queuing, stream processing, and highly
scalable ?big data? data stores.
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and
Cassandra.
Experience with data pipeline and workflow management tools: Azkaban,
Luigi, Airflow, etc.
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Java,
C# etc.

Reference : Big Data/ Data Engineer jobs


Recent jobs at dinesh_k
Full-time Salesforce CPQ at dinesh_k in California 08-11-2018
Full-time SAP ABAP at dinesh_k in California 08-11-2018
Full-time QA/Test Analyst at dinesh_k in Texas 15-10-2018
Full-time Automation Tester at dinesh_k in California 15-10-2018

« Go back to category
Is this job ad fake? Report it!   
Recommend to a friend
Published at 19-11-2018
Viewed: 98 times