About arenaflex
At arenaflex, we strive to be the world's most customer-centric organization where individuals can find and discover anything they need to purchase online. In arenaflex IT Services, we employ the world's brightest minds, offering them an environment where they can continually improve the experience for our customers. We believe that data is the foundation of exceptional customer experiences, and we're looking for talented professionals to help us build that foundation.
Join our Corporate Infrastructure Services (CIS) team and become part of a dynamic group that is transforming how our organization leverages data to drive business success. As an IT Application Analyst focused on data engineering, you will have the opportunity to showcase your technical expertise, hands-on capabilities, and strong technical leadership skills while adapting and mastering quickly in a fast-paced environment. Our goal is to enable our organization into a data-first powerhouse, empowering customers and driving business success.
Position Overview
We are currently seeking a highly skilled and motivated IT Application Analyst to lead in designing, implementing, and delivering critical data solutions. This is a full-time position based in Austin, USA, offering competitive compensation at $26 per hour. As a key contributor to our data engineering team, you will play a pivotal role in building scalable data infrastructure, optimizing data pipelines, and ensuring the highest standards of data quality and reliability.
Key Responsibilities
- Team Leadership: Supervise the engineering work of other specialists on the project, providing technical guidance and mentorship to ensure successful project delivery.
- Solution Design: Design, develop, and deliver scalable and efficient data solutions that meet business requirements and support organizational growth.
- Quality Assurance: Ensure the quality, reliability, and security of data solutions through rigorous testing, monitoring, and continuous improvement practices.
- Data Architecture: Build and deploy high-quality data architecture and pipelines to support business reporting requirements and enable data-driven decision-making.
- Pipeline Monitoring: Monitor data pipelines and proactively identify and resolve any performance or reliability issues before they impact operations.
- Data Quality Management: Ensure data quality and reliability by implementing data validation, error handling, and data cleansing strategies.
- ETL Processes: Interact with different teams to extract, transform, and load data from a wide variety of data sources including but not limited to CSV, Excel, email attachments, SmartSheet, and more.
- Cross-Functional Collaboration: Work closely with business clients, technical teams, and operations groups to address business requirements and deliver against high operational standards of system availability and reliability.
- Software Enhancement: Build and enhance software to extend system, application, or tool functionality to improve business processes and meet end-user needs while working within the overall system architecture.
- Problem Resolution: Analyze and resolve operational issues, perform detailed root cause analysis, and propose recommendations for improvements.
- Documentation: Document data engineering processes, workflows, and best practices to ensure data sharing and maintain a robust knowledge base.
Essential Qualifications
- Education: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline.
- Leadership Experience: Experience providing oversight for data engineering projects with demonstrated ability to lead technical teams.
- Database Expertise: Proven experience with building, developing, maintaining, and enhancing scalable database systems including data modeling, data warehousing, and building ETL pipelines alongside reporting solutions.
- Cloud Platform Proficiency: Extensive AWS experience with hands-on expertise in AWS Glue, AuroraDB (MySQL) - RDS, Amazon WorkMail, Amazon SES, S3, Lambda, Redshift, SQS, IAM (Users, Groups, Roles, and Permissions), VPC, and infrastructure configuration along with related components.
- Data Structures: Experience working with modern data structures and Lambda architecture models.
- SQL Skills: Strong proficiency in writing and optimizing SQL queries for data manipulation and analysis.
- Open Source Technologies: Knowledge and experience with Open Source Data Technologies including Hadoop, Hive, HBase, Pig, Flash, and similar frameworks.
- Programming Experience: Two or more years of development experience in Python, Ruby, Scala, or other platform-related big data technologies.
- Development Best Practices: Knowledge of professional programming practices and best practices for the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Reporting Systems: Experience building Reporting systems such as QuickSight, PowerBI, or other business intelligence tools.
- Business Analysis: Knowledge and experience building data warehouse reporting systems for Business Analysis using various technologies.
- UI/UX for Data Systems: Experience with responsive design and UI development for data entry systems (writeback reporting systems).
Preferred Qualifications
- Experience with SmartSheet, Asana, HoneyCode, or PowerApps for data management and workflow automation.
- JavaScript and/or React JS knowledge and hands-on experience for building interactive data interfaces.
- Industry experience as a Data Engineer or related specialty (e.g., Programmer, Business Intelligence Specialist, Data Scientist) with a history of controlling, processing, and extracting value from large datasets.
- Experience building data products incrementally and integrating and managing datasets from diverse sources.
- Query execution tuning skills using Unix profiling tools and SQL optimization techniques.
- Experience leading large-scale data warehousing and analysis projects, including using AWS technologies such as Redshift, S3, EC2, Data Pipeline, and other big data technologies.
- Experience with non-relational databases/data stores including object storage, document or key-value stores, graph databases, and column-family databases.
Skills and Competencies Required for Success
To thrive in this role at arenaflex, you should possess a unique combination of technical expertise and interpersonal skills:
- Technical Acumen: Deep understanding of data engineering principles, cloud computing architectures, and modern data pipeline frameworks.
- Problem-Solving Abilities: Strong analytical skills with the ability to troubleshoot complex data issues and implement effective solutions.
- Communication Skills: Excellent verbal and written communication skills to effectively collaborate with cross-functional teams and translate technical concepts for non-technical stakeholders.
- Adaptability: Ability to quickly learn and adapt to new technologies and changing business requirements in a fast-paced environment.
- Attention to Detail: Meticulous approach to data quality, testing, and documentation to ensure accuracy and reliability.
- Innovation Mindset: Proactive approach to identifying improvements and implementing best practices in data engineering.
Career Growth Opportunities and Learning Benefits
At arenaflex, we invest in our employees' professional development and career growth. As part of our data engineering team, you will have access to:
- Continuous Learning: Opportunities to work with cutting-edge AWS technologies and big data frameworks, keeping your skills at the forefront of industry trends.
- Career Advancement: A clear path for career progression within our data engineering and IT organization, with the potential to take on lead and management roles.
- Professional Certifications: Support and sponsorship for relevant professional certifications in AWS, data engineering, and related fields.
- Technical Exposure: Broad exposure to various data sources, tools, and technologies across the organization.
- Innovation Projects: Opportunity to contribute to innovative data initiatives that transform how our organization operates and serves customers.
Work Environment and Company Culture
arenaflex offers a dynamic and inclusive work environment where innovation is celebrated and diversity is embraced. Our Corporate Infrastructure Services team fosters a culture of collaboration, continuous improvement, and customer obsession. We believe in empowering our employees to think creatively, take ownership of their work, and make a meaningful impact.
Our Austin office provides a modern, collaborative workspace with access to the tools and resources you need to succeed. We promote work-life balance and offer flexible arrangements to support your well-being. At arenaflex, you'll work alongside talented professionals who are passionate about data and committed to delivering exceptional experiences for our customers worldwide.
Compensation, Perks, and Benefits
We offer a competitive hourly rate of $26 per hour for this full-time position, along with a comprehensive benefits package that includes:
- Health, dental, and vision insurance coverage.
- 401(k) retirement plan with company matching.
- Paid time off and holidays.
- Employee assistance programs.
- Professional development opportunities.
- Employee discount programs.
- Life and disability insurance.
Join Our Team
Are you ready to take your data engineering career to the next level? Do you want to be part of a team that is transforming how an organization leverages data to drive success? If you have the skills, experience, and passion for data engineering that we're looking for, we want to hear from you!
At arenaflex, we believe that our employees are our greatest asset, and we're committed to providing an environment where you can grow, innovate, and make a difference. Apply now to join our team and help us build the data infrastructure that powers exceptional customer experiences.
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Apply today and become part of the arenaflex team!