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 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 our data strategy, designing and building data warehouses, and ensuring high-quality data management. If you're passionate about big data, cloud computing, and data engineering, this is an exciting opportunity to join a dynamic team and contribute to the growth of arenaflex.

About arenaflex:

arenaflex is a global leader in the entertainment and media industry, known for its innovative approach to storytelling and customer experience. Our commitment to excellence and innovation has made us a household name, and we're constantly pushing the boundaries of what's possible. As a Lead Data Engineer at arenaflex, you'll be part of a team that's passionate about using data to drive business decisions and improve customer experiences.

Job Description:

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

• Designing and building data warehouses: Develop scalable and efficient data warehousing solutions using Hadoop, AWS, Snowflake, and other cloud-based technologies.
• Building ETL pipelines: Design and implement ETL pipelines in large data environments (cloud, on-prem, hybrid) to extract, transform, and load data into data warehouses.
• Collaborating with cross-functional teams: Work closely with Data Product Managers, Data Modelers, and Data Architects to design, implement, and deliver successful data solutions.
• Maintaining high-quality documentation: Ensure detailed documentation of your work and changes to support data quality and data governance.
• Ensuring high operational efficiency: Meet Service Level Agreements (SLAs) and support our clients' (Data Science, Data Analysis groups) obligations.
• Participating in agile/scrum practices: Be a proactive member and supporter of agile/scrum practices to ensure team well-being and cycle improvements.

Key Capabilities:

* Solid SQL skills: Ability to write complex SQL queries to extract insights from data and build performant datasets.

• Experience with distributed systems: Familiarity with distributed systems like Hadoop (HDFS, Hive, Voila, PySpark) to query and process large datasets.
• Programming skills: Proficiency in Python, Java/Scala, and experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Large Query).
• Data integration toolsets: Experience with data integration toolsets like Wind current and writing and maintaining data pipelines.
• Data modeling and warehousing: Strong understanding of data modeling strategies and data warehousing best practices.
• Agile and scrum practices: Familiarity with agile and scrum methodologies and principles.
• Cloud computing: Experience with cloud technologies like AWS (S3, EMR, EC2) is a plus.

Ideal Candidate:

* Problem-solver: Strong analytical and problem-solving skills with a passion for data engineering.

• Team player: Collaborative mindset with excellent communication and interpersonal skills.
• Innovative thinker: Ability to think creatively and develop innovative solutions to complex data problems.
• Continuous learner: Commitment to ongoing learning and professional development in data engineering and related technologies.

What We Offer:

* Competitive salary: $24/hour

• Opportunities for growth: Career growth and learning opportunities in a dynamic and innovative environment.
• Collaborative team: Collaborative and supportive team environment with a focus on teamwork and open communication.
• Flexible work arrangements: Flexible work arrangements to support work-life balance and productivity.
• Professional development: Opportunities for professional development and training in data engineering and related technologies.

How to Apply:

If you're a motivated and experienced data engineer looking for a new challenge, please submit your application through our website. We can't wait to hear from you! Apply Now! Apply for this job