Experienced Full Stack Data Engineer – AI & Data Organization (Remote, Online)

Are you a tech-savvy professional with a passion for driving business growth through innovative data solutions? Do you thrive in a fast-paced, dynamic environment where no two days are the same? Look no further than arenaflex, a leading company in the era of communications services, where we're revolutionizing the way we connect and interact with the world. As a Senior Data Engineer in arenaflex's Artificial Intelligence and Data Organization (AI&D), you'll play a critical role in shaping the future of our company by designing, building, and deploying cutting-edge data pipelines and analytics solutions. With a strong focus on artificial intelligence, data engineering, operations automation, safety remediation, and enterprise-wide Omni channel development, you'll work closely with cross-functional teams to enhance performance, customer experience, and profitability.

About arenaflex

arenaflex is one of the world's leading companies in the era of communications services, with a rich history of innovation and a commitment to making a positive impact on the world. We're a human community that spans the globe, working behind the scenes to anticipate, lead, and listen to the needs of our customers. With a strong focus on purpose, persistence, and teamwork, we strive to make a difference and drive progress in the industry.

Job Responsibilities

As a Senior Data Engineer, you'll be responsible for:

• Examining advertising, customer experience, and virtual operations environments to build data pipelines and transform data into actionable intelligence
• Designing, building, and deploying production-stage data pipelines using tools from the Hadoop stack (HDFS, Hive, Spark, Streaming, HBase, Kafka, Oozie, NiFi, etc.) and programming in Python/Scala
• Assisting in managing all advertising-related tasks on the Big Data/Cloud platform, including the design of new programs and education of other developers
• Gathering requirements, identifying gaps, and building roadmaps and architectures to support the analytics-driven business in achieving its goals
• Working closely with Data Analysts to ensure data quality and availability for analytical modeling
• Identifying gaps and implementing solutions for data security, quality, and automation of processes
• Supporting maintenance, bug fixes, and performance evaluation alongside the data pipeline
• Designing, building, documenting, testing, and implementing new data pipelines and analytics
• Collaborating in cross-functional teams to provide new data, develop schema requirements, and maintain metadata
• Building semantic layers (curated data), measurement tables for reports and analytics
• Coordinating with the offshore team for design and implementation
• Identifying ways to enhance data reliability, performance, and quality
• Using big data tools to address business issues
• Using data to determine responsibilities that can be automated
• Designing and implementing truth tables, reports, and dashboards using Tableau, Looker, and other tools
• Analyzing current Teradata/SQL queries for performance improvement

What We're Looking For

We're seeking a highly motivated and experienced professional with a strong background in data engineering, artificial intelligence, and analytics. You'll need:

• A Bachelor's degree or 3 or more years of work experience
• 3 or more years of relevant work experience
• Even better if you have one or more of the following:

+ 3+ years of Database experience in Teradata SQL, Teradata Utilities, SQL Server, SSIS, and OLAP + 3+ years of experience in designing, building, and deploying production-stage data pipelines using tools from the Hadoop stack and programming in Python/Scala + 1+ year(s) of experience in Cloud data engineering, ideally Google Cloud with Big Query + Dashboard development experience in Tableau, Qlik, and/or Looker + A degree. Master's degree in Computer Science, Information Systems, and/or related technical discipline + Teradata/Big Data Analytics Certification + Knowledge of the telecom industry + Experience working with a distributed team + Ability to successfully communicate through presentation, interpersonal, verbal, and written skills

Why arenaflex?

arenaflex is dedicated to providing a Total Rewards package that's competitive, valued by our employees, and differentiates us as an Employer of Choice. We're a "pay for performance" company, where your contribution is rewarded through aggressive salaries, performance-based incentives, and a Employee Stock Program. We create opportunities for us all to share in the success of arenaflex and the value we help create through this broad-based discretionary equity award program.

Benefits

* Market-competitive salaries and performance-based incentives

• Comprehensive health and wellness resources, including a primary in-class Employee Assistance Program
• Generous paid time off benefits to help you manage your work-life balance and opportunities for flexible working arrangements
• Education and development opportunities for all levels, including investment in education assistance, award-winning education, online development tools, and access to business research
• Opportunities to participate in volunteering programs as part of our environmental, community, and sustainability commitment

Work Environment

In this hybrid position, you'll have a designated workspace that includes working from home and assigned office days set by your manager. You'll be part of a dynamic team that's passionate about innovation, collaboration, and making a difference.

How to Apply

If arenaflex and this position sound like a fit for you, we encourage you to apply, even if you don't meet every "even better" qualification listed above. This position is eligible to be considered for the Department of Defense SkillBridge Program. Apply now and join the arenaflex team in shaping the future of data engineering and artificial intelligence! Apply for this job