Staff Data Quality Engineer

Location:

Plano, TX, US, 75024

Brand: Altice USA

Requisition #: 3697

Altice USA is a cutting-edge communications, media, and tech company. We connect people to what matters most to them; texting with friends, advertising that resonates, or binge watching their favorite show. Our differentiated approach centers around technologies that push the envelope and deliver the ultimate customer experience. We’re building a workforce that attracts and retains the best talent, not only to meet the needs of our customers, but that also reflects the diverse communities we serve.

Job Summary

The Staff Data Engineer of Data Quality is responsible for technically leading projects to develop strategic insights that address complex, critically important business issues at Altice USA. The Data Engineer will work in a fast paced, high-energy team to deliver cutting edge analytical projects for Altice USA senior management.

This candidate will be expected to identify appropriate opportunities for Data Quality validation of technical data and analytical solutions and develop associated test frameworks and processes. In addition, the Data Engineer will participate in the establishment of long-term improvement of testing processes and tools. They will create complex workflows and queries to validate executive level reporting and be responsible for writing, executing, and debugging code to perform data completeness, correctness, data transformation and data quality testing.

The Data Engineer must have programming proficiency with analytical platform software and Data and Analytics systems expertise including but not limited to SQL, Alteryx (ETL), MicroStrategy, Tableau, Looker, Cloud Data and Storage Systems.

Responsibilities

Act as the day-to-day technical leader and central point of contact for multiple concurrent analytical projects, providing technical guidance to other staff members
Design of test scenarios and test plans to ensure that tests can be implemented and executed to validate ETL and business reporting requirements
Run test validations, using SQL and ETL, at various levels including DB validation, logging validation, reporting metric validation and UI validation
Partner directly with business unit (Sales, Marketing, Product, Ops, Engineering) senior executives to leverage quantitative insights to address complex, high impact business issues

Provide thought leadership and assume responsibility for the team's work throughout the analytical process
Continually builds and maintains expertise in latest state-of-the-art testing methodologies as they pertain to existing and planned projects.
Help identify value creation opportunities across organizations, including developing business cases, e.g., strategy, financial and business analysis, modeling, cost savings/synergies, etc.
Assist with creating project resource estimates, metrics to track completion phase, defect reports, defect prevention, development efficiency and quality
Work with Project Managers and Business Analysts in understanding and translating technical business requirements
Provide strong technical mentorship for more junior resources on the Data and Analytics team
Maintain working relationships across organization, including within analytics team, business units, and senior management
Support Project Management personnel in the development of Functional Technical Reviews (FTR) or Walk Throughs

Qualifications

8+ years of relevant employment experience

Bachelor's degree in Computer Science, Mathematics, Statistics, other applied science field

Experience as a technical lead, providing specialized solutions to complex business problems
Strong hands-on SQL and ETL coding experience, along with expertise knowledge of RDBMS (ie Oracle, Google BigQuery), Cloud Data and Storage Systems a must
Experience with languages and systems to run independent validations against, such as BI Tools (MicroStrategy) and Data Visualization (Tableau or Looker) a must
Experience testing data for data marts, data warehouses, and data integration solutions a must
Knowledge of database architectures such as relative, star and snowflake schemas a must
Competency in data manipulation and analysis: accessing raw data in varied formats with different methods and analyzing and processing data to draw insights into business problems a must
Experience with ETL tools such as Alteryx a must
Knowledge of Machine Learning (Parametric and Non-Parametric) algorithms strongly suggested
Understanding Customer Lifetime Value (CLV) principals strongly suggested
Experience in test automation using tools such as Query Surge or QTP strongly suggested
Experience with other programming languages (ie python) a plus
Highly detail oriented with strong analytical and problem-solving skills

Altice USA is an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law.

Altice USA, Inc. collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law.

This position is identified as being performed in/or reporting to company operations in New York State. Salary ranges are supplied in compliance with New York State law. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $96,020.00 - $153,632.00 / year. The rate/Range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity.

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