Principal Big Data Engineering

at  ATT

JOB DESCRIPTION:

Join AT&T and reimagine the communications and technologies that connect the world. Our Consumer Technology experience team is delivering innovative and reliable technology solutions to power differentiated, simplified customer experiences. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future-you’ll create it.
HR People Analytics is seeking a Principal Data Engineer to join our team. This professional is tasked with designing, implementing, and managing data solutions on the Snowflake platform, utilizing InfoWorks to automate and orchestrate data workflows. The goal is to optimize the processing, storage, and analysis of large volumes of data, enabling the organization to extract meaningful insights efficiently and effectively. Your expertise will enable us to leverage an array of external and internal data assets more effectively, playing a pivotal role in unlocking the potential of our workforce data to shape the future of our workplace.

QUALIFICATIONS:

• Education: Bachelor’s degree in Computer Science, Mathematics, Scientific Computing, or a related field is preferred.
• Experience: A minimum of 8-10 years of experience in data engineering with expert-level proficiency in Snowflake and Big Data technologies.
• Snowflake Expertise: Demonstrated experience with Snowflake’s data warehousing solutions, including architecture, security, and data modeling.
• Data Proficiency: Strong background in handling both structured and unstructured data, with the ability to implement statistical data quality procedures.
• Analytical Skills: Proven ability to support data analytics processes, from data sourcing and preparation to visualization and insight synthesis.
• Collaboration and Communication: Excellent interpersonal and communication skills, with the ability to work effectively across technical and non-technical teams.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.
  AT&T is leading the way to the future – for customers, businesses and the industry. We’re developing new technologies to make it easier for our customers to stay connected to their world. Together, we’ve built a premier integrated communications and entertainment company and an amazing place to work and grow. Team up with industry innovators every time you walk into work, creating the world you always imagined.
  Ready to #transformdigital with us? Apply now!

• Snowflake Architecture Mastery: Design, implement, and manage sophisticated data models within the Snowflake environment, optimizing for performance, scalability, and security.
• Workflow Orchestration: Utilize InfoWorks to automate data pipelines, from extraction and transformation to loading (ETL processes). This includes scheduling tasks, managing dependencies, and ensuring that data flows seamlessly and efficiently between source systems, the data lake, and Snowflake.
• Data Engineering Excellence: Define comprehensive data requirements, extracting and processing vast datasets from structured and unstructured sources within our data lake, ensuring data integrity and quality.
• Innovative Analytics Support: Enable data scientists by developing advanced mechanisms for data ingestion, analysis, validation, normalization, and cleansing using Snowflake’s unique capabilities.
• Policy and Security Collaboration: Work closely with Data Policy, Security teams, and Legal departments to establish robust data policies, developing secure interfaces and retention models that respect privacy and compliance standards.
• Best Practices Leadership: Contribute to and maintain data engineering best practices, sharing insights on data analytics, visualization techniques, and Snowflake optimization strategies.