Sr Engineer, (Engineer 3), Data & Analytics
Company: Comcast
Location: Philadelphia
Posted on: May 28, 2023
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Job Description:
Comcast Business offers technology solutions ranging from
Ethernet, internet, and WiFi connectivity to voice, television, and
managed Enterprise solutions to power businesses of all sizes to
perform better. From small businesses to mid-market and large
Enterprise organizations, Comcast Business serves business
customers across the country. Powered by an advanced, Gig-speed
network and backed by 24/7 technical support, Comcast Business is
one of the largest contributors to the growth of Comcast Cable. The
organization is the nation's largest cable provider to small and
mid-size businesses and has emerged as a force in the Enterprise
market, recognized by leading industry associations as one of the
fastest growing provider of Ethernet services. JOB DESCRIPTION Job
SummaryResponsible for designing, building and overseeing the
deployment and operation of technology architecture, solutions and
software to capture, manage, store and utilize structured and
unstructured data from internal and external sources. Establishes
and builds processes and structures based on business and technical
requirements to channel data from multiple inputs, route
appropriately and store using any combination of distributed
(cloud) structures, local databases, and other applicable storage
forms as required. Develops technical tools and programming that
leverage artificial intelligence, machine learning and big-data
techniques to cleanse, organize and transform data and to maintain,
defend and update data structures and integrity on an automated
basis. Creates and establishes design standards and assurance
processes for software, systems and applications development to
ensure compatibility and operability of data connections, flows and
storage requirements. Reviews internal and external business and
product requirements for data operations and activity and suggests
changes and upgrades to systems and storage to accommodate ongoing
needs. Work with data modelers/analysts to understand the business
problems they are trying to solve then create or augment data
assets to feed their analysis. Has in-depth experience, knowledge
and skills in own discipline. Usually determines own work
priorities. Acts as resource for colleagues with less
experience.Job DescriptionCore Responsibilities
Develops data structures and pipelines aligned to established
standards and guidelines to organize, collect, standardize and
transform data that helps generate insights and address reporting
needs.
Focuses on ensuring data quality during ingest, processing as well
as final load to the target tables.
Creates standard ingestion frameworks for structured and
unstructured data as well as checking and reporting on the quality
of the data being processed.
Creates standard methods for end users / downstream applications to
consume data including but not limited to database views, extracts
and Application Programming Interfaces.
Develops and maintains information systems (e.g., data warehouses,
data lakes) including data access Application Programming
Interfaces.
Participates in the implementation of solutions via data
architecture, data engineering, or data manipulation on both
on-prem platforms like Kubernetes and Teradata as well as Cloud
platforms like Databricks.
Determines the appropriate storage platform across different
on-prem (minIO and Teradata) and Cloud (AWS S3, Redshift) depending
on the privacy, access and sensitivity requirements.
Understands the data lineage from source to the final semantic
layer along with the transformation rules applied to enable faster
troubleshooting and impact analysis during changes.
Collaborates with technology and platform management partners to
optimize data sourcing and processing rules to ensure appropriate
data quality as well as process optimization.
Creates and establishes design standards and assurance processes
for software, systems and applications development to ensure
compatibility and operability of data connections, flows and
storage requirements. Reviews internal and external business and
product requirements for data operations and activity and suggests
changes and upgrades to systems and storage to accommodate ongoing
needs.
Develops strategies for data acquisition, archive recovery, and
database implementation.
Manages data migrations/conversions and troubleshooting data
processing issues.
Understands the data sensitivity, customer data privacy rules and
regulations and applies them consistently in all Information
Lifecycle Management activities.
Identifies and reacts to system notification and log to ensure
quality standards for databases and applications. Solves abstract
problems beyond single development language or situation by reusing
data file and flags already set.
Solves critical issues and shares knowledge such as trends,
aggregate, quantity volume regarding specific data sources.
Consistent exercise of independent judgment and discretion in
matters of significance.
Regular, consistent and punctual attendance. Must be able to work
nights and weekends, variable schedule(s) as necessary.
Other duties and responsibilities as assigned.
Employees at all levels are expected to:
Understand our Operating Principles; make them the guidelines for
how you do your job.
Own the customer experience - think and act in ways that put our
customers first, give them seamless digital options at every
touchpoint, and make them promoters of our products and
services.
Know your stuff - be enthusiastic learners, users and advocates of
our game-changing technology, products and services, especially our
digital tools and experiences.
Win as a team - make big things happen by working together and
being open to new ideas.
Be an active part of the Net Promoter System - a way of working
that brings more employee and customer feedback into the company -
by joining huddles, making call backs and helping us elevate
opportunities to do better for our customers.
Drive results and growth.
Respect and promote inclusion & diversity.
Do what's right for each other, our customers, investors and our
communities.
Disclaimer:This information has been designed to indicate the
general nature and level of work performed by employees in this
role. It is not designed to contain or be interpreted as a
comprehensive inventory of all duties, responsibilities and
qualifications.
Comcast is an EOE/Veterans/Disabled/LGBT employer.Comcast is proud
to be an equal opportunity workplace. We will consider all
qualified applicants for employment without regard to race, color,
religion, age, sex, sexual orientation, gender identity, national
origin, disability, veteran status, or any other basis protected by
applicable law.
EducationBachelor's DegreeWhile possessing the stated degree is
preferred, Comcast also may consider applicants who hold some
combination of coursework and experience, or who have extensive
related professional experience.Relevant Work Experience5-7
YearsBase pay is one part of the Total Rewards that Comcast
provides to compensate and recognize employees for their work. Most
sales positions are eligible for a Commission under the terms of an
applicable plan, while most non-sales positions are eligible for a
Bonus. Additionally, Comcast provides best-in-class Benefits. We
believe that benefits should connect you to the support you need
when it matters most, and should help you care for those who matter
most. That's why we provide an array of options, expert guidance
and always-on tools, that are personalized to meet the needs of
your reality - to help support you physically, financially and
emotionally through the big milestones and in your everyday life.
Please visit the compensation and benefits summary on our careers
site for more details.
Keywords: Comcast, Philadelphia , Sr Engineer, (Engineer 3), Data & Analytics, Engineering , Philadelphia, Pennsylvania
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