AT & T

JOB TITLE: Professional Big Data Engineer. DUTIES: AT&T Services, Inc., is seeking a Professional Big Data Engineer in Dallas, TX [and various work locations throughout the U.S.; may work from home] to define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the big data environment.. Develop and maintain data engineering best practices and contribute to insights on data analytics and visualization concepts, methods and techniques.. Develop and maintain production range pipelines using best data engineering practices and contribute to data analytics.. Use Hadoop, Map Reduce, Sqoop, Hive, Pig, Apache HBase, MongoDB, YARN, MYSQL, Oracle, Apache HBase, Hive, Teradata, Synapse, Windows, Unix, Linux, Java, Python, Shell scripting, PL/SQL Pig scripting, Microsoft Azure, AWS, Cloudera (CDH3, CDH4, and CDH5), Hortonworks, GIT, Docker, Jenkins, Kubernetes, Azure Data Lake Storage Gen2, Power BI, Agile, Kanban, DevOps, Waterfall, Eclipse, JIRA, Jupyter notebook, Ansible, and Kibana to meet business needs.

big data engineer

Job Description:
JOB TITLE: Professional Big Data Engineer
JOB LOCATION: 208 S. Akard St., Dallas, TX 75202 [and various work locations throughout the U.S.; may work from home]
DUTIES: AT&T Services, Inc., is seeking a Professional Big Data Engineer in Dallas, TX [and various work locations throughout the U.S.; may work from home] to define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the big data environment. Support the standardization, customization and ad-hoc data analysis, and develop the mechanisms to ingest, analyze, validate, normalize and clean data. Implement statistical data quality procedures on new data sources, and by applying rigorous iterative data analytics, supports data scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Work with big data policy and security teams and legal to create data policy and develop interfaces and retention models which requires synthesizing or anonymizing data. Develop and maintain data engineering best practices and contribute to insights on data analytics and visualization concepts, methods and techniques. Provide rich insight into business performance, preferences, and experiences to improve the customer experience across a broad range of vertical market. Develop and maintain production range pipelines using best data engineering practices and contribute to data analytics. Use Hadoop, Map Reduce, Sqoop, Hive, Pig, Apache HBase, MongoDB, YARN, MYSQL, Oracle, Apache HBase, Hive, Teradata, Synapse, Windows, Unix, Linux, Java, Python, Shell scripting, PL/SQL Pig scripting, Microsoft Azure, AWS, Cloudera (CDH3, CDH4, and CDH5), Hortonworks, GIT, Docker, Jenkins, Kubernetes, Azure Data Lake Storage Gen2, Power BI, Agile, Kanban, DevOps, Waterfall, Eclipse, JIRA, Jupyter notebook, Ansible, and Kibana to meet business needs.
REQUIREMENTS: Requires a Bachelors degree, or foreign equivalent degree, in Computer Science, Computer Engineering, or Information Technology and Five (5) Years of progressive, post-baccalaureate experience in the job offered or Five (5) Years of progressive, post-baccalaureate experience in a related occupation supporting the standardization, customization and ad-hoc data analysis, and developing the mechanisms to ingest, analyze, validate, normalize and clean data; Working with big data policy and security teams and legal to create data policy and develop interfaces and retention models which requires synthesizing or anonymizing data; Developing and maintaining data engineering best practices and contribute to insights on data analytics and visualization concepts, methods and techniques; Using Hadoop, Map Reduce, Sqoop, Hive, Pig, Apache HBase, MongoDB, YARN, MYSQL, Oracle, Apache HBase, Hive, Teradata, Synapse, Windows, Unix, Linux, Java, Python, Shell scripting, PL/SQL Pig scripting, Microsoft Azure, AWS, Cloudera (CDH3, CDH4, and CDH5), Hortonworks, GIT, Docker, Jenkins, Kubernetes, Azure Data Lake Storage Gen2, Power BI, Agile, Kanban, DevOps, Waterfall, Eclipse, JIRA, Jupyter notebook, Ansible, and Kibana to meet business needs.
Our Professional Big Data Engineers earn between $130,270 - $210,100 yearly. Not to mention all the other amazing rewards that working at AT&T offers.
Joining our team comes with amazing perks and benefits:
Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Adoption Reimbursement
Disability Benefits (short term and long term)
Life and Accidental Death Insurance
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
Employee Assistance Programs (EAP)
Extensive employee wellness programs
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
Weekly Hours:
40 Time Type:
Regular Location:
Dallas, Texas It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. #J-18808-Ljbffr

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