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Experienced Full Stack Data Engineer – Web & Cloud Application Development at arenaflex

Remote Full-time Live

Join arenaflex's Dynamic Team and Unlock Your Potential in Data Engineering

Are you a data enthusiast with a passion for innovation and problem-solving? Do you thrive in fast-paced environments where no two days are the same? Look no further! arenaflex, a leading innovator in the entertainment and media industry, is seeking an experienced Full Stack Data Engineer to join our dynamic team.

About arenaflex

arenaflex is a global leader in the entertainment and media industry, known for its commitment to innovation, creativity, and excellence. Our company is home to a diverse range of brands, including Disney, ESPN, and more. We're a team of passionate individuals who are dedicated to pushing the boundaries of what's possible in the world of entertainment and media.

The Role

As a Full Stack Data Engineer at arenaflex, you'll play a critical role in designing, developing, and maintaining our data infrastructure. You'll work closely with our cross-functional teams to ensure that our data systems are scalable, reliable, and secure. Your expertise will help us to unlock new insights, drive business growth, and deliver exceptional customer experiences.

Key Responsibilities

* Design and develop data warehousing solutions, including ETL pipelines in large data environments (cloud, on-prem, hybrid)

  • Collaborate with data engineers, data scientists, and data analysts to develop and implement data solutions
  • Develop and maintain data models, data structures, and data pipelines using Hadoop, AWS, Snowflake, and other technologies
  • Work with our tech stack, including Hadoop, AWS, Snowflake, Flash, and Windstream, and languages such as Python, Scala
  • Ensure high operational efficiency and quality of solutions to meet SLAs and support our clients (Data Science, Data Analysis teams)
  • Participate in agile/scrum practices to ensure team well-being and cycle improvements
  • Develop and maintain detailed documentation of your work and changes to support data quality and data governance

Essential Qualifications

* Bachelor's degree in Computer Science, Information Technology, or related field

  • 5+ years of experience in data engineering, data science, or related field
  • Strong SQL skills and ability to write queries to extract data and build performant datasets
  • Experience with distributed systems like Hadoop (HDFS, Hive, Voila, PySpark) to query and process data
  • Strong programming skills in Python, Java/Scala
  • Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Large Query)
  • Strong experience in data integration toolsets (i.e. Windstream) and writing and maintaining data pipelines
  • Strong knowledge of data modeling strategies and data warehousing standard practices
  • Familiarity with Scrum and Agile approaches

Preferred Qualifications

* Experience with cloud technologies like AWS (S3, EMR, EC2)

  • Strong understanding of data governance, data quality, and data security
  • Experience with data visualization tools like Tableau, Power BI, or D3.js
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams

What We Offer

* Competitive salary and benefits package

  • Opportunity to work with a dynamic and innovative team
  • Collaborative and inclusive work environment
  • Professional development and growth opportunities
  • Flexible work arrangements, including remote work options
  • Access to cutting-edge technologies and tools
  • Recognition and rewards for outstanding performance

How to Apply

If you're a motivated and talented data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples to our application portal. We can't wait to hear from you!

Apply Now

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