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About careeraxis – Pioneering Entertainment‑Driven Data Innovation
careeraxis is a global leader in creating immersive digital experiences that delight millions of fans every day. Our mission is to transform raw information into actionable insights that power storytelling, enhance guest experiences, and drive strategic growth across a portfolio of world‑class entertainment properties. As part of the careeraxis Innovation Hub, the Data & Analytics division partners with product, marketing, and operations teams to deliver cutting‑edge data platforms that enable real‑time decision making at massive scale.
Position Overview
We are seeking a highly motivated Lead Data Engineer to join our Commitment and Maintenance Information Designing team. This role will own the end‑to‑end design, development, and operational excellence of large‑scale data products and data warehouses that support critical business functions such as product configuration, advertising effectiveness analysis, and new revenue‑generation initiatives. The ideal candidate combines deep technical expertise with a passion for solving complex data challenges and a collaborative mindset that thrives in an agile environment.
Key Responsibilities
- Architect, build, and maintain robust data pipelines and data lake solutions on both cloud and on‑premise platforms, ensuring high availability, scalability, and security.
- Design and implement ETL/ELT workflows that ingest, transform, and load terabytes of structured and semi‑structured data daily.
- Collaborate closely with Data Product Owners, Data Modelers, and Data Architects to translate business requirements into performant data models and storage solutions.
- Lead the creation of reusable data components, libraries, and best‑practice documentation to accelerate team productivity and maintain data quality standards.
- Monitor, troubleshoot, and optimize data pipelines to meet stringent Service Level Agreements (SLAs) and support the analytical needs of Data Science, Business Intelligence, and Operations teams.
- Champion agile and Scrum methodologies within the data engineering squad, facilitating sprint planning, retrospectives, and continuous improvement initiatives.
- Stay current with emerging big‑data technologies, evaluate their applicability, and drive adoption of innovative tools that enhance our data ecosystem.
- Mentor junior engineers, conduct code reviews, and foster a culture of knowledge sharing and technical excellence.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical discipline.
- Experience: Minimum 5 years of hands‑on experience designing and operating large‑scale data platforms in a fast‑paced, high‑volume environment.
- Technical Skills:
- Advanced proficiency in SQL and the ability to craft complex queries for data extraction and analysis.
- Deep knowledge of big‑data frameworks such as Hadoop ecosystem components (HDFS, Hive, Impala, Spark) and streaming platforms like Apache Flink.
- Strong programming capabilities in Python and either Java or Scala, with a focus on clean, maintainable code.
- Hands‑on experience with at least one major MPP or cloud data warehouse technology (Snowflake, Amazon Redshift, Google BigQuery, or similar).
- Familiarity with data orchestration tools (Airflow, Luigi, or similar) and data quality frameworks (Great Expectations, Deequ).
- Methodologies: Proven track record working within Scrum or other Agile frameworks, delivering incremental value in short iterations.
Preferred Qualifications & Additional Skills
- Experience with cloud services on AWS (S3, EMR, EC2, Lambda) or equivalent platforms such as Azure or Google Cloud.
- Exposure to containerization and orchestration technologies (Docker, Kubernetes) for deploying scalable data services.
- Knowledge of data modeling techniques, dimensional modeling, and data vault methodology.
- Understanding of data governance, security, and compliance standards (GDPR, CCPA, SOC 2).
- Strong problem‑solving abilities, attention to detail, and the capacity to communicate technical concepts to non‑technical stakeholders.
Core Competencies for Success
- Analytical Mindset: Ability to dissect complex data problems, identify root causes, and propose elegant, data‑driven solutions.
- Collaboration: Comfortable partnering across cross‑functional teams, building consensus, and influencing decisions without direct authority.
- Ownership: Demonstrates a proactive approach to taking responsibility for end‑to‑end delivery, from design through production support.
- Continuous Learning: Eagerness to stay ahead of industry trends, experiment with new tools, and share insights with peers.
- Communication: Clear, concise, and persuasive communication style, both written and verbal, tailored to diverse audiences.
Career Growth & Learning Opportunities
At careeraxis, your career trajectory is shaped by your ambition and the impact you create. As a Lead Data Engineer, you will have direct exposure to senior leadership, strategic initiatives, and high‑visibility projects that influence the future of entertainment data. Opportunities include:
- Progression to Senior Data Architecture or Data Platform Management roles.
- Access to a robust internal learning portal featuring certifications in cloud platforms, data engineering, and advanced analytics.
- Participation in industry conferences, hackathons, and internal innovation challenges.
- Mentorship programs that pair you with seasoned technology leaders across careeraxis.
Work Environment & Culture at careeraxis
careeraxis fosters an inclusive, dynamic, and forward‑thinking workplace where creativity meets technology. Our teams operate in open‑plan studios and hybrid remote settings, encouraging flexibility while maintaining strong team cohesion. Core cultural pillars include:
- Innovation First: We reward curiosity and empower employees to experiment with bold ideas.
- Guest‑Centric Mindset: Every data solution is built with the end‑user experience in mind.
- Collaboration & Respect: Diverse perspectives are celebrated, and every voice matters.
- Work‑Life Balance: Flexible hours, generous paid time off, and wellness programs support personal well‑being.
Compensation, Benefits & Perks
We offer a competitive hourly rate of $24 per hour, reflective of the expertise required for this role. In addition to base compensation, careeraxis provides a comprehensive benefits package that includes:
- Health, dental, and vision insurance with multiple plan options.
- Retirement savings plan with company matching contributions.
- Paid parental leave, vacation, and sick days.
- Employee assistance programs, mental‑health resources, and wellness stipends.
- Transportation subsidies and on‑site amenities such as cafeterias, fitness centers, and relaxation zones.
- Opportunities for tuition reimbursement and professional certification funding.
How to Apply
If you are ready to lead the transformation of data at a world‑renowned entertainment powerhouse, we want to hear from you. Click the link below to submit your application, attach your resume, and share a brief cover letter highlighting your most relevant achievements.
Apply Now – Join careeraxis Today!
Closing Statement
careeraxis is committed to building a diverse workforce that reflects the global audiences we serve. We encourage candidates of all backgrounds to apply. Your expertise, passion for data, and drive to innovate will help shape the next generation of magical experiences for millions of fans worldwide. Take the next step in your career—become a pivotal part of careeraxis’s data revolution.
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