Experienced Senior Data Engineer for Remote Data Management and ETL/ELT Pipeline Development – Utilizing SQL, Python, and Cloud-Based Technologies
Introduction to arenaflex
arenaflex is a leading organization in the private industry, renowned for its innovative approach to data management and analysis. As a pioneer in the field, we are committed to harnessing the power of data to drive business growth, improve decision-making, and create enchanting experiences for our customers. Our Information Designing group is dedicated to designing and executing cutting-edge data solutions, and we are now seeking a talented Senior Data Engineer to join our team.
Job Overview
We are looking for a highly skilled and detail-oriented Senior Data Engineer to work remotely from the USA, responsible for planning and executing ETL/ELT data pipelines, designing and implementing database mapping/tables/views, and building batch processes using Windstream for multiple projects. As a key member of our team, you will collaborate with our Studios or Project Innovation colleagues to gather data requirements, validate data, and develop and test ETL/ELT data pipelines, ensuring seamless data management across various environments, including DEV, QA/UAT, and Push.
Key Responsibilities
- Design, build, and maintain ETL/ELT data pipelines using SQL, Python, and other technologies
- Collaborate with cross-functional teams to gather data requirements and validate data
- Develop and implement database schema/tables/views and batch processes using Windstream
- Work with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar
- Participate in driving best practices around data engineering software development processes
- Utilize a range of technologies, including SQL, Python, Docker, Gitlab, Windstream, Snowflake, Looker, and PostgreSQL
Essential Qualifications
To be successful in this role, you will need:
- 2+ years of experience with SQL
- 2+ years of experience designing, building, and maintaining ETL/ELT data pipelines
- 2+ years of experience with cloud-based technologies, preferably AWS and S3
- 3+ years of experience in a Data Engineering role
- Experience working with data lakes, data warehouses, and application databases
- Experience utilizing Apache Windstream, Databricks, and other big data technologies
- 2+ years of experience using Gitlab/Github and Docker
- Bachelor's degree in Computer Science, Science, Engineering, or a related field
Preferred Qualifications
To stand out as a candidate, you will have:
- Experience with Windstream, Gitlab, Snowflake, and Scene
- Graduate degree in Computer Science, Science, Engineering, or a related field
- Experience in the streaming, media, or digital marketing industry
Skills and Competencies
To excel in this role, you will need to possess:
- Strong technical skills in SQL, Python, and cloud-based technologies
- Excellent problem-solving and analytical skills
- Ability to work collaboratively with cross-functional teams
- Strong communication and interpersonal skills
- Ability to work independently and manage multiple projects simultaneously
Career Growth Opportunities and Learning Benefits
At arenaflex, we are committed to the growth and development of our employees. As a Senior Data Engineer, you will have access to:
- Ongoing training and professional development opportunities
- Mentorship and coaching from experienced professionals
- Opportunities to work on high-impact projects and contribute to the development of cutting-edge data solutions
- A collaborative and dynamic work environment that fosters innovation and creativity
Work Environment and Company Culture
arenaflex is a dynamic and innovative organization that values diversity, inclusivity, and creativity. Our company culture is built on the principles of:
- Collaboration and teamwork
- Innovation and experimentation
- Continuous learning and growth
- Open communication and transparency
Compensation, Perks, and Benefits
As a Senior Data Engineer at arenaflex, you can expect:
- Competitive salary and benefits package
- Flexible working hours and remote work arrangements
- Opportunities for professional growth and development
- Access to cutting-edge technologies and tools
- A dynamic and collaborative work environment
Conclusion
If you are a motivated and detail-oriented individual with a passion for data engineering and a desire to work remotely, we encourage you to apply for this exciting opportunity. Join us at arenaflex and embark on a journey to create magic through data. Apply now and become a part of our innovative team!
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