Introduction to arenaflex
arenaflex is a leading organization in the private sector, dedicated to innovation and excellence in all aspects of its operations. As a key player in the industry, arenaflex recognizes the importance of data-driven decision-making and is committed to building a robust and efficient data architecture. To achieve this goal, arenaflex is seeking an experienced Senior Data Engineer to join its team of skilled professionals. In this role, you will have the opportunity to work on complex data projects, collaborate with cross-functional teams, and contribute to the development of cutting-edge data solutions.
Job Overview
As a Senior Data Engineer at arenaflex, you will be responsible for designing, developing, and implementing large-scale data applications in cloud-based environments. You will work closely with process owners, product owners, and business stakeholders to drive the adoption of data-driven solutions and ensure that data engineering projects meet business requirements. Your expertise in data engineering, cloud computing, and data analysis will be essential in driving the success of arenaflex's data initiatives.
Key Responsibilities
- Contribute to the development of arenaflex's data product fabric and tasks, driving competitive advantages through proactive data engineering solutions.
- Collaborate with data scientists and product teams to drive solutioning and proof-of-concept conversations.
- Design, build, and manage large-scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
- Develop and own automation and monitoring structures that capture metrics and operational KPIs for data pipeline quality and performance.
- Implement best practices around systems integration, security, performance, and data management.
- Enable the business by creating value through the increased adoption of data, data science, and business intelligence capabilities.
- Develop and optimize strategies to "productionalize" data science models.
- Define and manage SLAs for data products and processes running in production.
- Support large-scale experimentation done by data scientists.
- Model new approaches and build solutions at scale.
- Research advanced techniques and methodologies.
- Create documentation for learnings and knowledge transfer.
- Develop and review reusable packages or libraries.
Essential Qualifications
To be successful in this role, you will need to have a strong foundation in data engineering, software development, and cloud computing. The following qualifications are essential:
- Bachelor's degree in Computer Science, Mathematics, Physics, or other technical fields.
- 2+ years of experience in Data Lake Framework, Data Warehousing, and Data Analysis tools.
- 2+ years of experience with SQL development and performance tuning, and programming experience in languages like Python, PySpark, Scala, etc.
- 2+ years of experience in cloud data engineering with Azure.
- Familiarity with Azure cloud services. Azure Certification is a plus.
- Experience with integration of multi-cloud services with on-premises technologies.
- Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.
- Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations.
- Experience building/working with highly available, distributed systems for data extraction, ingestion, and processing of large datasets.
- Experience with at least one MPP database technology like Redshift, Teradata, or SnowFlake.
- Experience with running and scaling applications on cloud infrastructure and containerized services like Kubernetes.
- Experience with version control systems like Github and collaboration and CI tools.
- Experience with Azure Data Factory, Azure Databricks, and Azure AI tools.
Preferred Qualifications
In addition to the essential qualifications, the following skills and experiences are preferred:
- Experience with statistical/ML methods.
- Experience building solutions in the retail or supply chain space.
- Understanding of metadata management, data lineage, and data glossaries.
- Working knowledge of agile development, including DevOps and DataOps concepts.
- Knowledge of business intelligence tools (like PowerBI).
Skills and Competencies
To be successful in this role, you will need to possess the following skills and competencies:
- Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate trust in communications with senior-level management.
- Proven history of leading, mentoring data teams.
- Strong change manager. Comfortable with change, particularly that which arises through organizational growth.
- Ability to understand and translate business requirements into data and technical requirements.
- High level of organization and ability to manage multiple, competing projects and priorities simultaneously.
- Positive and flexible attitude to enable adapting to different needs in a constantly changing environment.
- Strong leadership, organizational, and interpersonal skills; open to managing compromises.
- Cultivate a team culture of accountability, communication, and self-management.
- Proactively drives impact and engagement while bringing others along.
- Consistently achieve/exceed individual and team objectives.
- Ability to lead others without direct authority in a matrixed environment.
Career Growth and Learning Opportunities
At arenaflex, we are committed to the growth and development of our employees. As a Senior Data Engineer, you will have access to a wide range of training and development opportunities, including:
- Professional certification programs in data engineering and cloud computing.
- Workshops and conferences on the latest trends and technologies in data engineering and analytics.
- Mentorship programs to help you develop your skills and advance your career.
- Opportunities to work on complex and challenging projects that will help you grow both personally and professionally.
Work Environment and Company Culture
At arenaflex, we pride ourselves on our positive and inclusive company culture. Our employees are our greatest asset, and we strive to create a work environment that is supportive, collaborative, and empowering. As a Senior Data Engineer, you will be part of a dynamic and talented team of professionals who are passionate about data engineering and analytics.
Compensation, Perks, and Benefits
arenaflex offers a competitive compensation package, including a salary of $25 per hour, as well as a range of perks and benefits, including:
- Comprehensive health insurance.
- Retirement savings plan.
- Professional development opportunities.
- Access to cutting-edge technologies and tools.
- Collaborative and dynamic work environment.
Conclusion
If you are a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity at arenaflex. As a Senior Data Engineer, you will have the chance to work on complex data projects, collaborate with cross-functional teams, and contribute to the development of cutting-edge data solutions. Don't miss out on this opportunity to join a dynamic and talented team of professionals who are passionate about data engineering and analytics. Apply now to take your career to the next level!
Apply Now