Experienced Full Stack Data Engineer – Cloud and Big Data Application Development at arenaflex

About arenaflex

arenaflex is a leading entertainment and media conglomerate that has been a household name for generations. With a rich history of innovation and creativity, arenaflex has established itself as a pioneer in the industry, pushing the boundaries of what is possible in entertainment, media, and technology. Our commitment to excellence and our passion for storytelling have made us a beloved brand around the world.

About the Role

We are seeking an experienced and highly skilled Full Stack Data Engineer to join our team at arenaflex. As a key member of our Information and Investigation group, you will play a critical role in the development and implementation of our data-driven strategies, leveraging cutting-edge technologies to drive business growth and innovation. If you are a seasoned data professional with a passion for problem-solving and a knack for working with large datasets, we want to hear from you!

Job Summary

The Lead Data Engineer will be responsible for designing, developing, and implementing data solutions that meet the needs of our business stakeholders. This includes planning and developing data warehousing solutions, building ETL pipelines in Big Data environments, and collaborating with cross-functional teams to deliver high-quality data products. If you have a strong technical foundation, excellent problem-solving skills, and a passion for working with data, we encourage you to apply for this exciting opportunity.

Key Responsibilities

• Contribute to the design and development of data products and data distribution centers, focusing on data examination and information science.
• Plan and develop flexible data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid).
• Our tech stack includes Hadoop, AWS, Snowflake, Flink, and Windstream, with languages including Python, Scala.
• Help engineer data solutions/structures and define data models for the core data warehouse and data shops.
• Collaborate with Data Product Managers, Data Modelers, and Data Architects to design, implement, and deliver successful data solutions.
• Maintain detailed documentation of your work and changes to ensure data quality and data governance.
• Ensure high operational efficiency and quality of your solutions to meet SLAs and support our commitment to our clients (Data Science, Data Analysis teams).
• Be an active participant and advocate of agile/scrum practices to ensure well-being and cycle improvements for your team.

Key Capabilities

• Strong SQL skills and ability to write queries to extract data and build performant datasets.
• Experience with distributed systems like Flink, 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, BigQuery).
• Strong experience with data integration toolsets (i.e., Windstream) and writing and maintaining data pipelines.
• Strong knowledge of data modeling strategies and data warehousing standard practices and procedures.
• Familiarity with Scrum and Agile approaches.

What We're Looking For

We're looking for a seasoned data professional with a strong technical foundation, excellent problem-solving skills, and a passion for working with data. If you're a detail-oriented individual with a knack for working with large datasets, we want to hear from you! As a Lead Data Engineer at arenaflex, you will have the opportunity to work with a talented team of data scientists, engineers, and analysts to drive business growth and innovation.

What We Offer

As a Lead Data Engineer at arenaflex, you will have access to a comprehensive benefits package, including:

• A competitive salary of $24/hour.
• A comprehensive health insurance package.
• A 401(k) retirement savings plan with company match.
• Generous paid time off and holidays.
• Professional development opportunities and training.
• A dynamic and supportive work environment.

How to Apply

If you're a motivated and experienced data professional looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for the role. We can't wait to hear from you!

Apply Now!