Join arenaflex as a Remote Big Data Engineer
Are you ready to transform the way businesses harness data? arenaflex is seeking a talented and motivated Big Data Engineer to join our innovative technology team. In this exciting role, you'll be at the forefront of building and maintaining scalable data infrastructure that powers critical business decisions across the organization.
At arenaflex, we believe data is the cornerstone of modern business transformation. As a Big Data Engineer with our team, you'll work alongside brilliant technologists to design, build, and optimize data pipelines that process massive volumes of information in real-time. This is a fantastic opportunity for professionals who are passionate about data architecture, cloud technologies, and delivering solutions that make a tangible impact.
This position offers flexible remote work arrangements, allowing you to contribute your expertise from the comfort of your home while staying connected with collaborative teams across the organization. Whether you're located in New York, California, or anywhere in between, you can be part of arenaflex's mission to revolutionize financial services through cutting-edge data solutions.
About arenaflex
arenaflex is a globally recognized leader in financial services, committed to providing exceptional products, services, and experiences to customers worldwide. With a focus on innovation and customer satisfaction, arenaflex continues to drive progress and empower individuals and businesses to thrive financially. Our technology teams work on challenging problems that affect millions of customers daily, making this an ideal environment for engineers who want to see the real-world impact of their work.
We foster a culture of continuous learning, collaboration, and innovation. Our teams embrace agile methodologies and maintain a relentless focus on delivering high-quality solutions. When you join arenaflex, you become part of a community that values diversity, inclusion, and the holistic well-being of our colleagues and their families.
Position Overview
As a Big Data Engineer at arenaflex, you will play a pivotal role in designing and implementing robust data architecture that supports our enterprise analytics needs. You'll work closely with business stakeholders, product owners, and cross-functional teams to translate complex business requirements into technical solutions. Your expertise in big data technologies will be crucial in building scalable, efficient, and reliable data processing systems.
Key Responsibilities
• Design and Build Data Architecture: Create and maintain robust data models and architecture to support optimal data processing and standardized metric definitions across the organization.
• Develop Data Pipelines: Engineer end-to-end data pipelines using modern big data technologies including Hadoop, HDFS, MapReduce, Hive, Spark, and Python to deliver innovative analytical solutions.
• Ensure Data Quality: Implement rigorous testing protocols at variable and use-case levels to ensure data quality and accuracy throughout the data lifecycle.
• Collaborate with Stakeholders: Work closely with partners from various business units to prioritize, define, develop, and test data solutions for diverse use cases as part of our comprehensive Voice of Customer program.
• Drive Automation: Proactively identify and automate manual tasks to improve quality, efficiency, and reduce operational overhead.
• Consumer Analytics Development: Power consumer story analysis and elaboration, design and develop software programs, and build automation tools that enhance business intelligence.
• Performance Optimization: Provide guidance to enhance capabilities and drive efficiency in computing programs using the big data ecosystem.
• Agile Delivery: Participate in agile delivery methodologies where small increments of product are introduced at regular intervals to business groups.
Essential Qualifications
• Technical Experience: Hands-on development experience with Hive/Hadoop, PySpark, Python, and Shell Scripting languages for data-driven projects spanning at least 3+ years.
• Development Operations: Strong understanding of development launch management and troubleshooting for data-intensive projects.
• Collaboration Skills: Proven ability to work collaboratively with relationship managers and product owners to understand functional requirements and convert them into technical deliverables.
• Agile Methodology: Familiarity with Agile methodologies of delivery, with experience worki
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