Data Engineer

Company: Comcast
Location: Philadelphia, Pennsylvania, United States
Type: Full-time
Posted: 10.FEB.2019

Summary

Business Unit: Senior Data Engineer, Data Solutions- Comcast Global Audit Team Primary Responsibilities: Participate as active members of t...

Description

Business Unit: Senior Data Engineer, Data Solutions- Comcast Global Audit Team

Primary Responsibilities:
Participate as active members of the engagement team by generating insights on risks for audit scope areas through data analytics and automation. This includes building data sets for our risk models and data repositories as well as developing systems capable of processing millions of events and building a historical view into the enterprise operations of our wide-array of data. The individual in this role will work on the collection and enrichment system with components for quality, timeliness, scale and reliability and be responsible for the ingestion and processing of data, create and empower insights from dashboards/scorecards with data cubes. Additionally, the individual in this role will work with other Data Solutions Analysts who provide visibility to the enterprise through data analytics. In this role you will gain broad exposure to the Comcast Corporation data landscape through the audit analytics process.

Core Responsibilities:
What You Deliver
-Extract, transform, load, (ETL) manipulate, visualize, and provide accurate, relevant, timely, and cohesive data sets that support the identification of risk areas for Internal Audit. Apply business rules to our data as we migrate from source to target using scripting languages. Validate data to ensure quality.
-Develop technical designs, build and test marts for consumption by users.
-Uses data concepts, tools, and programming techniques including R, Python, SQL, MS SQL Server development, Sqoop, Teradata, Hadoop or comparable platforms (e.g., Oracle Business Intelligence, Power BI, Alteryx, Tableau, SAS) for data staging and analysis.
-Preparing, staging, scheduling, monitoring, and maintaining automated data processes from large disconnected datasets into a production environment.
-Build and analyze high-performance data stores and a massive historical data store using best-of-breed and industry-leading technology.
-Develop optimized tools for analytics and data scientist team members that assist them in building and optimizing risk projects into an innovative industry leader.
-Strong analytic skills related to working with structured and unstructured datasets
-Applies analytical models (e.g., regression, simulation, statistical, etc.) to data sets in risk areas to identify outliers, trends and/or projections, where appropriate.
-Extracts signals and signatures from raw data, integrates that information with other data sources and compiles/disseminates data sets. Identifies patterns, and trends in data.
-Refines audit risk scope areas that can be scored, modeled and automated through data analytics and works with risk teams to implement.
-Identifies opportunities for improvement to team activities, infrastructure, tools, and training.
-Ensures all data is secure and follows company policies regarding data classification.-Consistent exercise of independent judgment and discretion in matters of significance.
-Supports department objectives and performs other duties and responsibilities, as assigned.
-Assists less experienced team members in understanding and executing internal audit methodology and standards.
-Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
-Other duties and responsibilities as assigned.

How You Deliver
-Demonstrates the ability to quickly grasp complex subject matter and apply strong data engineering skills and technical knowledge to assessing and solving challenges.
-Exhibits willingness to tackle new areas and challenging topics.
-Stays current on data analytics trends (e.g., new automation tools, statistical methods, visualization techniques) as well as emerging technologies that impact how data can be used to identify risks on audits (e.g., AI ML, Blockchain, RPA).
-Works with discretion regarding work details on assignments of a varied and difficult nature.
-Utilizes creative thinking, individual initiative, and flexibility in prioritizing and completing tasks.
-Demonstrates the ability to work in a complex, dynamic, and multi-faceted environment.
-Acts in accordance with stated internal audit and company policies and practices, and maintains the highest degree of integrity in all activities and interactions.
-Adhere and contribute to enterprise data governance standards. Also educates and supports colleagues in best practices to ensure that data is used appropriately.
-Displays regular, consistent, and punctual attendance. Available to work variable schedule(s), nights and weekends if necessary.
-Out-of-town travel is approximately 10%.

How You Partner
-Demonstrates a willingness to assist other team members in areas outside of direct assignments, when necessary.
-Shows respect to other team members in all interactions.
-Exhibits strong interpersonal skills including written and verbal communications, and an ability to collaborate with others.
-Collaborates in a virtual environment to complete projects with team members in various locations. However, the employee must be available for extended hours, as needed, and be willing to travel with little notice on occasion.
-Partners with internal audit Analytics, internal audit Robotics Automation, Enterprise Data Champions, Enterprise Business Intelligence, Data Platform Owners, Data Warehouse and Reporting Teams.
-Trains others throughout the organization in using key analytical, data quality, and statistical analysis tools.
-Assists less experienced internal audit members in understanding and executing data analytics and automation activities.

How You Develop
-Exhibits a commitment to continuously self-improve by working with leadership to leverage strengths and focus on areas of development.
-Gains knowledge of Comcast Platforms, tools, the enterprise data landscape as well as cyber security concepts and applies to projects.

Educational, Experience, and Skill Requirements:
-Bachelor's Degree or Equivalent in Management Information Systems, Analytics, Computer Science strongly preferred or other business related field with solid academic credentials.
-Generally requires 5-7 years related experience
-Experience with NoSQL databases and HBase preferred.
-Highly proficient in SQL preferred.

Comcast is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Comcast via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Comcast HR/Recruitment will be deemed the sole property of Comcast. No fee will be paid in the event the candidate is hired by Comcast as a result of the referral or through other means.

Comcast is an EOE/Veterans/Disabled/LGBT employer

 
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