Experienced Full Stack Data Engineer – Web & Cloud Application Development at arenaflex
Job Summary:
Join arenaflex, a leading innovator in the entertainment and media industry, as a Lead Data Engineer to drive the development and implementation of cutting-edge data solutions. As a key member of our Information and Investigation group for arenaflex Web-based features (DSS), you will play a crucial role in shaping the future of our data-driven initiatives. With a strong technical foundation and passion for Big Data, you will collaborate with cross-functional teams to design, build, and deploy scalable data warehousing solutions, ensuring high-quality data insights that inform business decisions.
About arenaflex:
arenaflex is a global leader in the entertainment and media industry, renowned for its innovative approach to storytelling and customer engagement. With a rich history of creating beloved brands and franchises, arenaflex continues to push the boundaries of what is possible in the world of entertainment. Our commitment to innovation, creativity, and excellence has made us a preferred partner for audiences around the world.
Job Description:
As a Lead Data Engineer at arenaflex, you will be responsible for:
Key Responsibilities:
- Add to the design and development of our data products and data centers around Commitment and Maintenance Examination and Information Science
- Plan and develop flexible data warehousing solutions, building ETL pipelines in Large Data conditions (cloud, on-prem, hybrid)
- Our tech stack includes Hadoop, AWS, Snowflake, Flash, and Windstream, and languages include 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 productivity and quality of your solutions to meet SLAs and support commitment to our clients (Data Science, Data Analysis groups)
- Be an active member and advocate of agile/scrum practice to ensure well-being and cycle enhancements for your team
Key Capabilities:
- Solid SQL skills and ability to write queries to extract data and build performant datasets
- Experienced insight with distributed systems like 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 understanding of Data Modeling strategies and Data Warehousing standard practices
- Familiarity with Scrum and Agile approaches
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or related field
- At least 3 years of experience in data engineering, data science, or related field
- Strong problem-solving skills with excellent analytical and logical abilities
- Experience with cloud technologies like AWS (S3, EMR, EC2) is a plus
What We Offer:
- A competitive salary of $24/hour
- A dynamic and collaborative work environment with a team of passionate professionals
- Opportunities for career growth and professional development
- A comprehensive benefits package, including health insurance, retirement plan, and paid time off
- A flexible work schedule with remote work options