Experienced Senior Data Engineer for Artificial Intelligence and Data Organization – Remote, Online, and Hybrid Work Arrangements with arenaflex

Introduction to arenaflex and the Industry

arenaflex is one of the world's leading companies of technology and communications services, transforming the way we connect around the globe. As 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 analyze 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 programs 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 and Preferred Qualifications

To be successful in this role, you'll need to have a Bachelor's degree or 3 or more years of work experience. You'll also need to have 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-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 in Master's 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 Required for Success

To excel in this role, you'll need to have strong technical skills, including proficiency in programming languages such as Python and Scala. You'll also need to have experience with big data technologies, including Hadoop and Spark. Additionally, you'll need to have excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

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, including online courses and workshops, to help you enhance your skills and advance your career. You'll also have the opportunity to work on challenging projects and collaborate with experienced professionals in the field.

Work Environment and Company Culture Highlights

arenaflex is a dynamic and innovative company that values diversity and inclusion. We're committed to creating a work environment that's collaborative, supportive, and inclusive, where everyone can thrive. You'll have the opportunity to work with a talented team of professionals who are passionate about their work and committed to making a difference.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including a salary of $26/hour. You'll also have access to a range of benefits, including health and wellness programs, retirement savings plans, and paid time off. We're committed to providing our employees with a comprehensive benefits package that supports their overall well-being and quality of life.

Conclusion

If you're looking for a challenging and rewarding career opportunity with a leading company in the technology and communications industry, we encourage you to apply for this Senior Data Engineer position at arenaflex. With a competitive compensation package, opportunities for growth and development, and a dynamic and innovative work environment, this is an opportunity you won't want to miss. Apply now to join our team and start making a difference in the world of technology and communications.