Experienced Full Stack Data Engineer – Cloud Application Development and Data Science

At arenaflex, we're on a mission to revolutionize the way we approach data engineering and data science. As a key member of our North America Sort Focuses (NASC) SPEeD team, you'll play a crucial role in building adaptable solutions to address the complexities of our sortation network. Our team is dedicated to delivering exceptional customer experiences, and we're looking for talented individuals to join us on this exciting journey.

About arenaflex

arenaflex is a leading e-commerce company that's changing the way people shop and live. With a focus on innovation and customer satisfaction, we're committed to providing an exceptional experience for our customers. Our Sort Community network is the backbone of our Transportation Services (ATS) group, connecting Fulfillment Centers to the Last Mile. As a result, we're constantly seeking ways to improve our operations and provide faster, more efficient delivery to our customers.

The SPEeD Team

Our SPEeD team is responsible for designing and implementing innovative solutions to address the complexities of our sortation network. We're a dynamic team that's passionate about using cutting-edge technologies to drive business growth and customer satisfaction. Our goal is to build the most effective and efficient sortation network in the world, leveraging our expertise in data science, artificial intelligence, and machine learning.

Job Summary

We're seeking an experienced Full Stack Data Engineer to join our SPEeD team. As a key member of our team, you'll be responsible for designing, developing, and implementing data engineering solutions to support our business growth and customer satisfaction. You'll work closely with our data scientists, product managers, and engineers to develop innovative solutions that drive business outcomes.

Key Responsibilities

* Design, develop, and implement data engineering solutions to support our business growth and customer satisfaction

• Collaborate with data scientists, product managers, and engineers to develop innovative solutions that drive business outcomes
• Develop and maintain ETL pipelines, data warehouses, and data lakes to support our data science and analytics efforts
• Work with non-relational databases, such as object storage, report or key-value stores, graph databases, and column-family databases
• Develop and maintain data pipelines using AWS technologies, such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM
• Collaborate with cross-functional teams to develop and implement data-driven solutions that drive business growth and customer satisfaction
• Develop and maintain data visualizations and reports to support business decision-making
• Stay up-to-date with industry trends and emerging technologies to drive innovation and business growth

Essential Qualifications

* 3+ years of experience in data engineering, with a focus on designing and developing data engineering solutions

• Experience with data modeling, warehousing, and building ETL pipelines
• Strong understanding of data engineering principles and practices
• Experience with non-relational databases, such as object storage, report or key-value stores, graph databases, and column-family databases
• Experience with AWS technologies, such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM

Preferred Qualifications

* Experience with data science and analytics, with a focus on developing data-driven solutions

• Experience with machine learning and artificial intelligence, with a focus on developing predictive models and recommendations
• Experience with data visualization and reporting, with a focus on developing interactive dashboards and reports
• Experience with cloud-based technologies, such as AWS, Azure, or Google Cloud Platform
• Experience with containerization, such as Docker or Kubernetes

Skills and Competencies

* Strong understanding of data engineering principles and practices

• Experience with data modeling, warehousing, and building ETL pipelines
• Strong understanding of non-relational databases, such as object storage, report or key-value stores, graph databases, and column-family databases
• Experience with AWS technologies, such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM
• Strong understanding of data science and analytics principles and practices
• Experience with machine learning and artificial intelligence, with a focus on developing predictive models and recommendations
• Strong understanding of data visualization and reporting principles and practices
• Experience with cloud-based technologies, such as AWS, Azure, or Google Cloud Platform
• Strong understanding of containerization, such as Docker or Kubernetes

Career Growth Opportunities and Learning Benefits

At arenaflex, we're committed to providing our employees with the skills and knowledge they need to succeed in their careers. We offer a range of training and development programs, including:

• On-the-job training and mentorship
• Online courses and certifications
• Conferences and workshops
• Professional development opportunities

Work Environment and Company Culture

arenaflex is a dynamic and fast-paced work environment that's passionate about innovation and customer satisfaction. We're committed to providing a positive and inclusive work environment that supports the growth and development of our employees. Our company culture is built on the following values:

• Customer obsession
• Ownership
• Invent and simplify
• Are right, a lot
• Learn and be curious
• Hire and develop the best
• Insist on the highest standards
• Think big

Compensation, Perks, and Benefits

arenaflex offers a competitive salary and benefits package, including:

• Competitive salary
• Comprehensive health insurance
• 401(k) matching program
• Paid time off and holidays
• Flexible work arrangements
• Professional development opportunities
• Access to cutting-edge technologies and tools

How to Apply

If you're passionate about data engineering and data science, and you're looking for a challenging and rewarding career opportunity, we encourage you to apply. Please submit your resume and a cover letter that highlights your experience and qualifications. We can't wait to hear from you!

Equal Employment Opportunity

arenaflex is an equal employment opportunity employer. We're committed to providing a positive and inclusive work environment that supports the growth and development of our employees. We welcome applications from diverse candidates, including women, minorities, veterans, and individuals with disabilities.

Document Requirements

To apply for this position, you'll need to provide the following documents:

• Qualifications certificate with mark sheets
• Passport size photographs
• Signature

How to Apply

To apply for this position, please follow these steps: 1. Read the official notification carefully from the official website. 2. Read the notification carefully before applying. 3. Fill out the application form (the link is given below). 4. Attach the required document and passport size photo with signature. 5. Then submit. Done. Apply To This Job Apply for this job