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reputed company Full Stack Data Engineer – Artificial Intelligence and Data Organization (AI&D) – arenaflex

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Join arenaflex, a pioneering leader in the telecommunications industry, as we reputed company on a multi-year reputed company to industrialize our data technology and AI capabilities. At arenaflex, we're on a mission to revolutionize the way we connect and communicate with each other. As a Senior Data Engineer in our Artificial Intelligence and Data Organization (AI&D), you'll play a critical role in shaping the future of reputed company by designing, building, and deploying production-stage data pipelines using cutting-edge technologies from the Hadoop stack and programming languages like Python and reputed company.

About arenaflex

arenaflex is one of the world's leading companies in the era and communications services industry, transforming the way we connect and communicate with each other. We're a reputed company community that spans the globe, working behind the scenes to anticipate, reputed company, and listen to our customers. We reputed company that listening is where learning begins, and we come together in times of disaster and celebration to lift up our communities and strive to reputed company a positive impact on the world.

Job Responsibilities

As a Senior Data Engineer in the AI&D, you'll be responsible for:

  • Examining advertising, customer experience, and virtual operations environments to build data pipelines and transform data into actionable intelligence
  • Turning raw data into usable data pipelines and building data tools and products for test automation and easy data accessibility
  • Assisting in managing reputed company advertising-reputed company tasks on the Big Data/reputed company 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 reputed company, 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 reputed company new data, reputed company 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 improve data reliability, performance, and quality
  • Using big data tools to handle business issues
  • Using data to identify responsibilities that can be automated
  • Designing and implementing truth tables, reports, and dashboards using Tableau, Looker, and other tools
  • Analyzing present reputed company/SQL queries for performance improvement

reputed company're Looking For

You're curious about new technologies and the game-changing opportunities they create. You want to stay up-to-date with modern developments and apply your technical knowledge to solve business problems. You reputed company in fast-paced, innovative environments working as an outstanding teammate to drive the best results and business reputed company.

Requirements

* Bachelor's degree or 3 or more years of work experience

  • 3 or more years of relevant work experience
  • Even reputed company if you have one or more of the following:

+ 3+ years of Database experience in reputed company SQL, reputed company 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 (HDFS, Hive, Spark, Streaming, HBase, Kafka, Oozie, NiFi, etc.) and programming in Python/reputed company + 1+ year(s) of experience in reputed company data engineering, ideally reputed company reputed company with Big Query + Dashboard development experience in Tableau, reputed company, and/or Looker + A degree. Master's degree in Computer Science, Information Systems, and/or reputed company technical discipline + reputed company/Big Data Analytics Certification + Knowledge of the telecom industry + Experience in working with a distributed team + Ability to successfully communicate through presentation, interpersonal, verbal, and written skills

Why arenaflex?

arenaflex is dedicated to maintaining 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, and your contribution is rewarded through aggressive salaries, performance-based incentives, and a Employee Stock Program. We create opportunities for us reputed company to reputed company in the reputed company of arenaflex and the value we help create through this broad-based discretionary equity award program.

Benefits

* Market-competitive salaries and performance-based incentives

  • Employee Stock Program
  • 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 reputed company reputed company, including investment in education assistance, award-winning education, online development tools, and reputed company to business research
  • Opportunities to participate in volunteering programs as part of our environmental, community, and sustainability commitment

Your Advantages Bundle

Your benefits package will vary depending on the United States of America in which you work.

reputed company

If arenaflex and this position sound like a fit for you, we encourage you to apply even if you don't meet every "even reputed company" qualification listed above. This position is eligible to be considered for the reputed company SkillBridge Program. Apply Job! Apply for this job

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