Experienced Senior Data Engineer – Artificial Intelligence and Data Organization (AI&D) – Remote, Online, and Cloud Application Development

Introduction to arenaflex

arenaflex is one of the world's leading companies of technology and communications services, transforming the way we connect around the globe. We're a human community that reaches across the globe and works behind the scenes. We anticipate, lead, and agree that listening is where learning begins. In disaster and in celebration, we come together—lifting up our communities and striving to make an impact to move the world forward. If you're fueled by purpose, and powered by persistence, discover a career with us. Here, you'll find out the rigor it takes to make a difference and the achievement that comes with living the NetworkLife.

Job Overview

As a Senior Data Engineer in the Artificial Intelligence and Data Organization (AI&D) at arenaflex, you will control numerous activities including artificial intelligence, data engineering, operations automation, security remediation, and enterprise leading Omni-channel technology to enhance the performance, customer experience, and profitability of the company. You will examine marketing, customer experience, and digital operations environments to build data pipelines and transform data into actionable intelligence. You will turn raw data into usable data pipelines and build data tools and products for attempt automation and smooth data accessibility.

Key Responsibilities

• Assist in managing all marketing-related tasks on the Big Data/Cloud platform, including the design of new applications and training other developers.
• Gather requirements, identify gaps, and build roadmaps and architectures to support the analytics-driven organization in achieving its goals.
• Work closely with Data Analysts to ensure data quality and availability for analytical modeling.
• Identify gaps and implement solutions for data security, quality, and automation of processes.
• Support maintenance, bug fixes, and performance evaluation along the data pipeline.
• Design, build, document, test, and implement new data pipelines and analytics.
• Collaborate in cross-functional teams to deliver new data, develop schema standards, and maintain metadata.
• Build semantic layer (curated data), measurement tables for reports and analytics.
• Coordinate with the offshore team for design and implementation.
• Identify ways to improve data reliability, performance, and quality.
• Use big data sets to address business issues.
• Use data to discover tasks that can be automated.
• Design and implement fact tables, reports, and dashboards using Tableau, Looker, and other tools.
• Analyze existing Teradata/SQL queries for performance improvement.

Essential Qualifications

To be successful in this role, you'll need to have:

• Bachelor's degree or 3 or more years of work experience.
• 3 or more years of relevant work experience.

Preferred Qualifications

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-level data pipeline using tools from Hadoop stack (HDFS, Hive, Spark, Streaming, HBase, Kafka, Oozie, NiFi, etc.) 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 in working with a distributed team.
• Ability to effectively communicate via presentation, interpersonal, verbal, and written skills.

Skills and Competencies

To succeed in this role, you'll need to possess:

• Strong technical skills in data engineering, artificial intelligence, and cloud computing.
• Excellent problem-solving and analytical skills.
• Ability to work in a fast-paced, innovative environment.
• Strong communication and collaboration skills.
• Ability to effectively prioritize tasks and manage multiple projects simultaneously.

Career Growth Opportunities and Learning Benefits

At arenaflex, we're committed to providing our employees with opportunities for growth and development. You'll have access to:

• Training and development programs to enhance your skills and knowledge.
• Opportunities for career advancement and professional growth.
• A comprehensive spectrum of health and wellness resources.
• Generous paid time off benefits to help you manage your work-life balance.
• Flexible working arrangements to support your needs.

Work Environment and Company Culture

At arenaflex, we're proud of our company culture, which is built on a foundation of:

• Innovation and creativity.
• Collaboration and teamwork.
• Integrity and transparency.
• Respect and inclusivity.

Compensation, Perks, and Benefits

We offer a competitive total rewards package that includes:

• Competitive salaries and performance-based incentives.
• A comprehensive benefits package, including health, dental, and vision insurance.
• Generous paid time off benefits and flexible working arrangements.
• Opportunities for career advancement and professional growth.

Conclusion

If you're passionate about data engineering, artificial intelligence, and cloud computing, and you're looking for a challenging and rewarding role, we encourage you to apply for this exciting opportunity at arenaflex. As a Senior Data Engineer, you'll have the chance to work on complex projects, collaborate with a talented team, and contribute to the success of our organization. Don't miss out on this opportunity to join our team and take your career to the next level. Apply now and become a part of the arenaflex team!