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

Remote Full-time Live

Job Summary:

Join arenaflex, a leading innovator in the entertainment and media industry, as a Lead Data Engineer in our Information and Investigation group for Disney Web-based features (DSS). As a key member of our team, you will play a crucial role in designing, developing, and implementing cutting-edge data solutions that drive business growth and improve customer experiences. With a strong technical foundation and passion for big data, you will collaborate with cross-functional teams to create innovative data products and services that meet the evolving needs of our clients, sponsors, and content partners.

About arenaflex:

arenaflex is a global leader in the entertainment and media industry, with a rich history of innovation and creativity. Our commitment to excellence and customer satisfaction has earned us a reputation as a trusted partner for businesses and individuals around the world. At arenaflex, we believe that data is the key to unlocking new opportunities and driving growth. Our Information and Investigation group is dedicated to harnessing the power of data to create innovative solutions that meet the evolving needs of our clients and stakeholders.

Job Responsibilities:

As a Lead Data Engineer at arenaflex, you will be responsible for:

  • Contributing to the design and development of our data products and data warehouses, focusing on data analysis and science
  • Planning and implementing flexible data warehousing solutions, building ETL pipelines in large data environments (cloud, on-prem, hybrid)
  • Our tech stack includes Hadoop, AWS, Snowflake, Flink, and Windstream, with languages including Python, Scala
  • Helping engineer data solutions/structures and defining data models for the core data warehouse and data shops
  • Collaborating with Data Product Managers, Data Modelers, and Data Architects to design, implement, and deliver successful data solutions
  • Maintaining detailed documentation of your work and changes to ensure data quality and data governance
  • Ensuring high operational productivity and quality of your solutions to meet SLAs and support our clients (Data Science, Data Analysis groups)
  • Being an active member and advocate of agile/scrum practice to ensure well-being and cycle enhancements for your team

Key Capabilities:

* Strong SQL skills and ability to write queries to extract data and build performant datasets

  • Experienced insight with distributed frameworks like Flink, Hadoop (HDFS, Hive, Voila, PySpark) to query and process data
  • Solid programming skills in Python, Java/Scala
  • Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Large Query)
  • Strong involvement in data integration toolsets (i.e Windstream) and writing and maintaining data pipelines
  • Solid knowledge of data modeling strategies and data warehousing standard practices
  • Familiarity with Scrum and Agile approaches
  • You are a problem solver with strong analytical and relational skills
  • Ideal to have experience with cloud advances like AWS (S3, EMR, EC2)

What We Offer:

* Competitive salary of $24/hour

  • Opportunities for career growth and professional development
  • Collaborative and dynamic work environment
  • Comprehensive benefits package, including health insurance, retirement plan, and paid time off
  • Access to cutting-edge technology and tools
  • Recognition and rewards for outstanding performance
  • Flexible work arrangements, including remote work options

How to Apply:

If you are a motivated and experienced data professional looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!

Note:

arenaflex is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and respectful work environment that values diversity and promotes equality. Apply for this job

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