Big Data Engineer - Strategic Analytics Manager
Company: Samsung Electronics America
Location: Plano
Posted on: May 13, 2022
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Job Description:
Business Unit Description In today---s fast evolving technology
world, one aspect remains common --- reliance on data to drive the
next wave of innovation. Strategic Analytics is Samsung---s
Center-of-Excellence for driving the adoption of data driven
decision-making and product development across the company. The
team---s core focus is developing best-in-class solutions that
provide Samsung---s marketing and service organizations with a
360-degree view of the Samsung customers. Strategic Analytics is
powering a paradigm shift at Samsung and the global industry. We
are looking for highly technical team members who are passionate
about data, have the rigor needed to solve billion dollar problems,
and possess an innate entrepreneurial spirit to explore the
uncharted. Strategic Analytics combines the engineering backbone of
a best in class Big Data Platform with the analytic expertise of
advanced mining and predictive modeling. If you want to work among
the very best talent in the industry, working on the most
innovative products in the world, Samsung is the place to be.
Position Summary Big Data Engineers serve as the backbone of the
Strategic Analytics organization, ensuring both the reliability and
applicability of the team---s data products to the entire Samsung
organization. They have extensive experience with ETL design,
coding, and testing patterns as well as engineering software
platforms and large-scale data infrastructures. Big Data Engineers
have the capability to architect highly scalable end-to-end
pipeline using different open source tools, including building and
operationalizing high-performance algorithms. Big Data Engineers
understand how to apply technologies to solve big data problems
with expert knowledge in programming languages like Java, Python,
Linux, PHP, Hive, Impala, and Spark. Extensive experience working
with both 1) big data platforms and 2) real-time / streaming
deliver of data is essential. Big data engineers implement complex
big data projects with a focus on collecting, parsing, managing,
analyzing, and visualizing large sets of data to turn information
into actionable deliverables across customer-facing platforms. They
have a strong aptitude to decide on the needed hardware and
software design and can guide the development of such designs
through both proof of concepts and complete implementations.
Additional qualifications should include: Tune Hadoop solutions to
improve performance and end-user experience Proficient in designing
efficient and robust data workflows Documenting requirements as
well as resolve conflicts or ambiguities Experience working in
teams and collaborate with others to clarify requirements Strong
co-ordination and project management skills to handle complex
projects Excellent oral and written communication skills Job
Responsibilities Big Data Engineer: Responsibilities include: --
Translate complex functional and technical requirements into
detailed design. -- Design for now and future success -- Hadoop
technical development and implementation. -- Loading from disparate
data sets. by leveraging various big data technology e.g. Kafka --
Pre-processing using Hive, Impala, Spark, and Pig -- Design and
implement data modeling -- Maintain security and data privacy in an
environment secured using Kerberos and LDAP -- High-speed querying
using in-memory technologies such as Spark. -- Following and
contributing best engineering practice for source control, release
management, deployment etc -- Production support, job
scheduling/monitoring, ETL data quality, data freshness reporting
Skills Required: -- 5-8 years of experience writing complex SQL
queries. -- 3 years of Python development experience -- 3 years of
demonstrated technical proficiency with Hadoop and big data
projects -- 3 years of demonstrated experience and success in data
modeling. -- Ability to automate and implement ETLs to reduce
manual work. -- Fluent in writing shell scripts [bash, korn] --
Writing high-performance, reliable and maintainable code. --
Familiarity with and implementation knowledge of loading data using
Sqoop. -- Knowledge and ability to implement workflow/schedulers
within Oozie -- Experience working with AWS components [EC2, S3,
SNS, SQS] -- Analytical and problem solving skills, applied to Big
Data domain -- Proven understanding and hands on experience with
Hadoop, Hive, Pig, Impala, and Spark -- Good aptitude in
multi-threading and concurrency concepts. -- B.S. or M.S. in
Computer Science or Engineering -- Managerial ability to manage 2-3
contractors and/or direct reports -- People management skills
specifically ability to coach and help with building a productive
team
Keywords: Samsung Electronics America, Plano , Big Data Engineer - Strategic Analytics Manager, Engineering , Plano, Texas
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