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Experienced Data Engineer – Data Ingestion and ETL Pipeline Specialist at arenaflex

Work from home Full-time role Hiring

Are you a highly skilled data engineer with a passion for building scalable and efficient data ingestion pipelines? Do you have experience with Amazon Web Services (AWS) and a strong background in data warehousing and ETL (Extract, Transform, Load) processes? If so, we want to hear from you! arenaflex is seeking an experienced Data Engineer to join our team as a Data Ingestion and ETL Pipeline Specialist. In this role, you will be responsible for designing, building, and maintaining data ingestion pipelines that meet the evolving needs of our business partners.

About arenaflex

arenaflex is a leading provider of innovative solutions in the data engineering space. Our team of experts is dedicated to delivering high-quality data solutions that meet the complex needs of our clients. We are passionate about using data to drive business decisions and are committed to staying at the forefront of the latest data engineering trends and technologies.

A Day in the Life

As a Data Engineer at arenaflex, you will have the opportunity to work on a wide range of exciting projects that will challenge your skills and knowledge. Here are some of the key responsibilities of this role:

  • Gather and discuss requirements from business partners across various verticals, including memberships, deals, return planned operations, finance, and product.
  • Build new data ingestion pipelines using a combination of local AWS services and internal Amazon devices.
  • Maintain and improve existing data ingestion pipelines to ensure they meet evolving business needs and adhere to advancing guidelines and corporate standards.
  • Develop and maintain systems or tools for internal teams and external partners to manage data.
  • Perform code reviews and ensure best practices are followed for ETL and data cleanliness by colleagues and supporting teams.

The Team

The Ring Data Warehouse team at arenaflex is responsible for managing the unified data repository for Ring. We acquire and distribute data from various internal and external sources, which are used by different partners, such as Ring product design, finance, production network, advertising, customer service, and deals data. We are looking for a talented individual to join our team and help us drive data-driven decision-making.

Essential Capabilities

To be successful in this role, you will need to possess the following essential capabilities:

  • 3+ years of experience in data engineering
  • Experience with data warehousing, data modeling, and ETL pipeline development
  • Strong understanding of SQL and data querying
  • Experience with AWS services, including Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, Lambda, and IAM roles and permissions

Preferred Capabilities

While not required, the following preferred capabilities would be beneficial for this role:

  • Experience with modern programming languages, such as Python, Java, Scala, or NodeJS
  • Experience with non-relational databases or data stores (object storage, file or key-value stores, graph databases, column-family databases)
  • Knowledge of data governance, data quality, and data security best practices

What We Offer

arenaflex is committed to creating a diverse and inclusive work environment. We are an equal opportunity employer and do not discriminate based on race, color, national origin, sex, sexual orientation, gender identity, disability, age, or other protected status. We offer a comprehensive compensation package, including a competitive salary, benefits, and opportunities for professional growth and development.

How to Apply

If you are a motivated and talented data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!

About arenaflex

arenaflex is a leading provider of innovative solutions in the data engineering space. Our team of experts is dedicated to delivering high-quality data solutions that meet the complex needs of our clients. We are passionate about using data to drive business decisions and are committed to staying at the forefront of the latest data engineering trends and technologies.

Work Environment and Culture

arenaflex is a dynamic and fast-paced work environment that values innovation, collaboration, and continuous learning. Our team is passionate about delivering high-quality solutions and is committed to staying at the forefront of the latest data engineering trends and technologies. We offer a comprehensive compensation package, including a competitive salary, benefits, and opportunities for professional growth and development.

Compensation and Benefits

arenaflex offers a competitive compensation package, including a salary range of $100,000 to $150,000 per year, depending on experience and qualifications. We also offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off.

Career Growth Opportunities

arenaflex is committed to providing opportunities for professional growth and development. We offer training and development programs, mentorship opportunities, and a collaborative work environment that encourages innovation and creativity.

How to Apply

If you are a motivated and talented data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!

Conclusion

arenaflex is seeking an experienced Data Engineer to join our team as a Data Ingestion and ETL Pipeline Specialist. If you are a motivated and talented data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you! Apply for this job

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