Experienced Full Stack Data Engineer – Cloud and Big Data 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 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 data-driven decision-making. With a strong technical foundation and passion for Big Data, you will collaborate with cross-functional teams to design, implement, and deliver high-quality data solutions 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, renowned for its commitment to innovation, creativity, and customer satisfaction. With a rich history of delivering exceptional experiences, arenaflex continues to push the boundaries of what is possible in the world of entertainment. Our dedication to excellence is reflected in our cutting-edge technology, talented teams, and passion for storytelling.
Job Description:
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 governance and data science
- Planning and implementing versatile 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
- 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 efficiency 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 improvements for your team
Key Capabilities:
* Strong SQL skills and ability to write queries to extract data and build performant datasets
- Familiarity with distributed systems 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, BigQuery)
- Strong involvement in data integration toolsets (i.e., Windstream) and writing and maintaining Data Pipelines
- Familiarity with Data Modeling strategies and Data Warehousing standard practices and methodologies
- Acquainted with Scrum and Agile approaches
- You are a problem solver with strong analytical and relational skills
- Ideal to have experience with Cloud technologies like AWS (S3, EMR, EC2)
Essential Qualifications:
* Bachelor's degree in Computer Science, Information Technology, or related field
- 3+ years of experience in data engineering, data science, or related field
- Strong understanding of data modeling, data governance, and data quality
- Experience with Big Data technologies like Hadoop, Spark, and NoSQL databases
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud
- Strong communication and collaboration skills
Preferred Qualifications:
* Master's degree in Computer Science, Information Technology, or related field
- 5+ years of experience in data engineering, data science, or related field
- Experience with data integration toolsets like Talend, Informatica, or Microsoft SSIS
- Familiarity with data visualization tools like Tableau, Power BI, or D3.js
- Experience with DevOps practices and tools like Jenkins, Docker, or Kubernetes
What We Offer:
* Competitive salary and benefits package
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
- Access to cutting-edge technology and tools
- Recognition and rewards for outstanding performance
- Flexible work arrangements and remote work options
How to Apply:
If you are a motivated and talented data engineer looking to join a dynamic team, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you! arenaflex is an equal opportunities employer and welcomes applications from diverse candidates. Apply for this job