Senior Data Engineer – Big Data
The Video chief data office organization is looking for a curious, talented and highly motivated data engineer to work closely with data analysts and data scientists as part of an agile team to enable machine learning solutions and data driven decision making across our streaming and satellite TV products.
You will be comfortable working with large structured and unstructured datasets and automating data pipelines to ingest, analyze, validate, normalize and clean data in a hybrid multi-cloud environment as well as exploratory data analysis techniques and feature engineering.
This is the perfect opportunity to become a part of a fast paced and innovative team that leverages big data, machine learning and AI tools and technologies to solve real world problems and drive business value.
Key Roles and Responsibilities
Gathers, analyzes, and interprets a wide variety of data utilizing a variety of statistical methods to support Data Analysts and Data Scientist.
Automates data pipelines to ingest, analyze, validate, normalize and clean data.
Data Quality Implements statistical data quality procedures on new data sources.
Develops and maintains data engineering best practices and provides thought leadership.
Works with Security teams and Legal to create data policies and develop interfaces and retention models which requires synthesizing or anonymizing data.
Uses basic machine learning / AI techniques to build models that support decision making.
Develops basic reports, charts, tables, and other visual aids in support of findings.
Advises business partners with regards to patterns and relationships in data to recommend business direction or outcomes.
Experience
Preferred: Python, SQL, Hive, Spark, Databricks, Snowflake, Vertica, Teradata, Hortonworks, AWS and Azure.
Good understanding of internal business segments or stakeholders and good presentation skills.
3-5 years related experience in data engineering/automation, big data, relational database structures, data modeling and data quality.
Education
Preferred advanced college degree in Computer Science and or Statistics, Mathematics.
Bedminster, NJ
AT&T Corp. provides voice, video, and data communications services to businesses, consumers, and governments worldwide. It operates in two segments, Business Services and Consumer Services. The Business Services segment offers domestic and international long distance and toll-free voice services, local voice services, audio and video teleconferencing services, Web-based video conferencing services, and calling cards. Its local voice services include local voice and data telecommunications services, such as basic local exchange service, exchange access, private line, and high speed data and pay phone; integrated voice, data, and Internet protocol (IP) services; and packet services.
This segment also provides IP connectivity, managed IP, messaging, electronic commerce services and managed networking services, professional services, and outsourcing solutions; enterprise networking services; enterprise remote access services; Web services; and security services. It offers local, interstate, and international wholesale networking capacity and switched services to other service providers. The Consumer Services segment provides interstate and intrastate long distance telecommunications services throughout the continental U.S. and telecommunications services to and from Alaska, Hawaii, Puerto Rico, and the Virgin Islands, as well as international telecommunications services to and from various nations and territories worldwide.
It provides bundled local and long distance services; calling card services; transaction-based services; Internet; and residential voice over IP services. AT&T Corp. was formerly known as American Telephone & Telegraph Company and changed its name to AT&T Corp. in April 1994. The company was founded in 1885 and is based in Bedminster, New Jersey. AT&T Corp. operates as a subsidiary of AT&T Inc.