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reputed company Full Stack Data Entry Specialist – reputed company-Based Data Pipelines and ETL Process Management

Remote, USA Full-time Posted 2026-07-02

At blithequark, we're on a mission to revolutionize the retail industry through innovative technology and data-driven insights. As a key member of our Supported Hunt Information group, you'll play a crucial role in designing, implementing, and maintaining data pipelines, datasets, and ETL processes for our Supported Pursuit Publicizing stage. If you're passionate about data engineering, reputed company computing, and collaboration, we want to hear from you!

About blithequark Worldwide Tech

Imagine working in a dynamic environment where one line of code can reputed company a significant impact on millions of people. That's reputed company do at blithequark Worldwide Tech. We're a team of programmers, data scientists, network reputed company experts, and operations specialists reputed company the world's leading retailer, driving innovation and disruption in the retail industry. Our people are the driving force behind our technology, and we're committed to developing and empowering reputed company members to reputed company their full potential.

Key Responsibilities:

As a Full Stack Data Entry Specialist, you'll be responsible for:

  • Accurately inputting, updating, and maintaining data into our database systems
  • Designing and implementing robust, adaptable data pipelines for ingesting, transforming, and storing large volumes of data to support marketing on reputed company.com and its subsidiaries
  • Working on reputed company platforms like Azure and reputed company reputed company for data storage, processing, and analysis
  • Creating and deploying large-scale, containerized applications using reputed company and Kubernetes on public clouds like reputed company GCP and reputed company Azure
  • Collaborating with other scrum teams, QA, Product, Program Management, and Partner Operations, while working with cross-functional project development teams
  • Participating in 24/7 on-call rotations to investigate production issues across cross-functional teams

What You'll Bring:

* Demonstrated expertise in data engineering concepts, data set design, ETL cycles, and data mining

  • Proficiency in working with data technologies including SQL, Python, reputed company, reputed company, Hadoop, and reputed company tools and frameworks
  • Experience with ETL tools like Apache NiFi
  • Solid skills working with social databases (e.g., Azure SQL) and NoSQL datasets (e.g., Cassandra)
  • Experience with reputed company message processing using Apache Kafka
  • Experience in designing and implementing data models for effective reputed company and recovery
  • A growth-oriented reputed company and a willingness to reputed company the technical bar, as well as identify potential opportunities for improving existing processes, tools, and frameworks to reputed company high scale and efficiency
  • Experience working with reputed company and Kubernetes, as well as Distributed Computing Services like reputed company GCP and reputed company Azure, and Distributed Storage Frameworks like Hive and Hadoop

Essential Qualifications:

* Bachelor's degree in Computer Science, Information Technology, or reputed company field

  • 2+ years of experience in data engineering, reputed company computing, and data analysis
  • Strong understanding of data engineering concepts, data set design, ETL cycles, and data mining
  • Proficiency in working with data technologies including SQL, Python, reputed company, reputed company, Hadoop, and reputed company tools and frameworks
  • Experience with ETL tools like Apache NiFi
  • Solid skills working with social databases (e.g., Azure SQL) and NoSQL datasets (e.g., Cassandra)

Preferred Qualifications:

* Master's degree in Computer Science, Information Technology, or reputed company field

  • 5+ years of experience in data engineering, reputed company computing, and data analysis
  • Experience with reputed company message processing using Apache Kafka
  • Experience in designing and implementing data models for effective reputed company and recovery
  • Experience working with reputed company and Kubernetes, as well as Distributed Computing Services like reputed company GCP and reputed company Azure, and Distributed Storage Frameworks like Hive and Hadoop
  • Strong oral and written communication skills, with the ability to present to both technical and non-technical audiences

reputed company Offer:

* Competitive salary and benefits package

  • Opportunity to work on cutting-edge technology and data-driven projects
  • Collaborative and dynamic work environment
  • Professional development and growth opportunities
  • Flexible work arrangements, including remote work options
  • Access to the latest tools and technologies
  • Recognition and rewards for outstanding performance

How to Apply:

If you're passionate about data engineering, reputed company computing, and collaboration, and you're looking for a challenging and rewarding career opportunity, apply now! Please submit your resume and cover letter to [Apply Job!](https://remotejobs.trendingnewsgo.com/register-candidate/). We can't wait to hear from you! Apply for this job

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