Experienced Full Stack Senior Data Engineer – Cloud and Data Application Development
Are you ready to embark on an exciting journey that combines cutting-edge technology, innovative problem-solving, and a passion for data-driven insights? Look no further than arenaflex, a leading innovator in the aviation industry. As a Senior Data Engineer, you will play a pivotal role in shaping the future of arenaflex's data management and analytics capabilities, working closely with cross-functional teams to design, develop, and deploy scalable data solutions that drive business growth and customer satisfaction.
Why You'll Love This Role
* Collaborate with a talented team of data engineers, scientists, and analysts to develop and implement data-driven solutions that empower arenaflex's business decisions
- Work on a wide range of projects, from data warehousing and ETL to data visualization and machine learning, using cutting-edge technologies such as Azure Data Factory, Azure Databricks, and Power BI
- Contribute to the development of arenaflex's data architecture, ensuring seamless integration with existing systems and applications
- Participate in code reviews, mentor junior engineers, and share knowledge and best practices with the team
- Stay up-to-date with the latest industry trends and technologies, attending conferences, workshops, and online courses to enhance your skills and expertise
What You'll Do
As a Senior Data Engineer at arenaflex, you will be responsible for designing, developing, and deploying scalable data solutions that meet the needs of our business stakeholders. Your key responsibilities will include:
- Collaborating with cross-functional teams to gather requirements, design, and develop data solutions that meet business needs
- Developing and maintaining ETL processes using Azure Data Factory, Azure Databricks, and other data integration tools
- Designing and implementing data warehouses, data marts, and data lakes using Azure Synapse Analytics, Azure Data Lake Storage, and other data storage solutions
- Developing data visualizations and reports using Power BI, Tableau, and other business intelligence tools
- Participating in code reviews, mentoring junior engineers, and sharing knowledge and best practices with the team
- Staying up-to-date with the latest industry trends and technologies, attending conferences, workshops, and online courses to enhance your skills and expertise
All You'll Need for Success
To succeed in this role, you will need:
- A Bachelor's degree in Computer Science, Information Technology, or a related field
- 3+ years of experience in data engineering, data science, or a related field
- Proficiency in programming languages such as Python, Java, or C#
- Experience with data integration tools such as Azure Data Factory, Azure Databricks, and Informatica PowerCenter
- Experience with data warehousing and ETL tools such as Azure Synapse Analytics, Azure Data Lake Storage, and Informatica PowerCenter
- Experience with data visualization tools such as Power BI, Tableau, and QlikView
- Strong understanding of data modeling, data architecture, and data governance
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
Favored Qualifications
* 3+ years of experience in cloud computing, with a focus on Azure
- 3+ years of experience in data engineering, with a focus on data warehousing and ETL
- 3+ years of experience in data science, with a focus on machine learning and predictive analytics
- Experience with big data technologies such as Hadoop, Spark, and NoSQL databases
- Experience with DevOps tools such as Jenkins, Git, and Docker
- Experience with cloud-based data platforms such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure Databricks
Abilities, Licenses, and Certifications
* Strong understanding of data modeling, data architecture, and data governance
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Proficiency in programming languages such as Python, Java, or C#
- Experience with data integration tools such as Azure Data Factory, Azure Databricks, and Informatica PowerCenter
- Experience with data warehousing and ETL tools such as Azure Synapse Analytics, Azure Data Lake Storage, and Informatica PowerCenter
- Experience with data visualization tools such as Power BI, Tableau, and QlikView
- Strong understanding of cloud computing, with a focus on Azure
- Experience with big data technologies such as Hadoop, Spark, and NoSQL databases
- Experience with DevOps tools such as Jenkins, Git, and Docker
What You'll Get
As a Senior Data Engineer at arenaflex, you will enjoy a comprehensive benefits package, including:
- Medical, dental, and vision insurance
- 401(k) program with company match
- Flexible spending accounts for healthcare and dependent care
- Paid time off and holidays
- Professional development opportunities, including training, conferences, and certifications
- Collaborative and dynamic work environment with a talented team of data engineers, scientists, and analysts
- Opportunity to work on a wide range of projects, from data warehousing and ETL to data visualization and machine learning
- Recognition and rewards for outstanding performance and contributions to the team
Join the arenaflex Team
At arenaflex, we believe that diversity and inclusion are essential to our success. We are committed to creating a workplace that is welcoming and inclusive for all employees, regardless of their background, culture, or identity. If you are passionate about data engineering, data science, and innovation, and you are looking for a challenging and rewarding career opportunity, we encourage you to apply for this role. Apply Now! Apply for this job