Data Science Big Data Engineer - Wayne, PA, United States - Comcast Corporation

Comcast Corporation Wayne, PA, United States

3 weeks ago

Description

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences.

We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day.

If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary Responsible 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.

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.

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 Cloud platforms like AWS and Databricks.

Determines the appropriate storage platform on AWS and/or Databricks 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.

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.
Must be able to work nights and weekends, variable schedule(s) as necessary.

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.

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.

Respect and promote inclusion & diversity.
Do what's right for each other, our customers, investors and our communities.

It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

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, genetic information, or any other basis protected by applicable law.

Bachelor's Degree
Relevant Work Experience

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.

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