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Experienced Full Stack Data Entry Specialist – Cloud-Based Data Pipeline Development and Maintenance

Remote Full-time Live

Are you a tech-savvy individual with a passion for data analysis and pipeline development? Do you thrive in a fast-paced environment where no two days are the same? If so, we invite you to join blithequark's dynamic team of data experts as a Full Stack Data Entry Specialist. In this role, you will play a critical part in designing, implementing, and maintaining robust data pipelines that drive business growth and innovation.

About blithequark

At blithequark, we're revolutionizing the retail industry with cutting-edge technology and innovative solutions. Our team of experts is dedicated to developing and implementing data-driven strategies that drive business success. As a Full Stack Data Entry Specialist, you'll be part of a collaborative and dynamic team that values creativity, innovation, and teamwork.

Key Responsibilities

As a Full Stack Data Entry Specialist, your primary responsibilities will include:

  • Designing, implementing, and maintaining robust data pipelines for ingesting, processing, and storing large volumes of data to support marketing efforts on Walmart.com and its subsidiaries.
  • Working on cloud platforms like Azure and Google Cloud for data storage, processing, and analysis.
  • Developing and deploying large-scale, containerized applications using Docker and Kubernetes on public clouds like Google GCP and Microsoft Azure.
  • Collaborating with other scrum teams, QA, Product, Program Management, and Partner Operations to ensure seamless integration and delivery of projects.
  • Participating in 24/7 on-call rotations to investigate production issues across cross-functional teams.
  • Staying up-to-date with industry trends and emerging technologies to identify opportunities for process improvements and innovation.

What You'll Bring

To succeed in this role, you'll need to bring the following skills and experience:

  • Demonstrated aptitude in data design principles, data set planning, ETL cycles, and data mining.
  • Proficiency in working with data technologies including SQL, Python, Flash, Scala, Hadoop, and related tools and frameworks.
  • Experience with ETL tools like Apache NiFi.
  • Solid skills working with relational databases (e.g. SQL Server) and NoSQL databases (e.g. Cassandra).
  • Experience with real-time data processing using Apache Kafka.
  • Experience in designing and implementing data models for efficient storage and retrieval.
  • A growth-oriented mindset and a willingness to raise the technical bar, as well as identify opportunities for improving existing processes, tools, and frameworks to achieve high scalability and efficiency.
  • Experience working with Docker and Kubernetes, as well as Distributed Computing Services like Google GCP and Microsoft Azure, and Distributed Storage Frameworks like Hive and Hadoop.
  • Excellent oral and written communication skills, with the ability to present to both technical and non-technical audiences.
  • A strong sense of ownership and accountability, self-discipline, and focus on high-quality expectations, and a team-oriented approach that values design thinking, efficiency, and innovation.

What We Offer

As a Full Stack Data Entry Specialist at blithequark, you'll enjoy a range of benefits, including:

  • Competitive salary and benefits package.
  • Opportunities for career growth and professional development.
  • Collaborative and dynamic work environment.
  • Flexible remote work options.
  • Access to cutting-edge technology and tools.
  • Recognition and rewards for outstanding performance.
  • Opportunities to work on high-impact projects that drive business growth and innovation.

How to Apply

If you're a motivated and tech-savvy individual with a passion for data analysis and pipeline development, we invite you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We can't wait to hear from you! Apply Now! Apply for this job

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