Experienced Full Stack Data Entry Specialist – Cloud Application Development and Data Analytics

Are you a highly motivated and detail-oriented individual with a passion for data analysis and cloud application development? Do you thrive in a fast-paced environment where no two days are the same? If so, we may have the perfect opportunity for you at blithequark. As a Full Stack Data Entry Specialist, you will play a critical role in supporting the development and maintenance of data pipelines, data sets, and ETL processes for blithequark's Supported Pursuit Publicizing stage. This is a full-time position available for both night and day shifts, offering the flexibility to work remotely.

About blithequark

At blithequark, we are a team of innovators, thinkers, and doers who are passionate about using technology to make a positive impact on people's lives. We believe that technology should be accessible to everyone, and we are committed to creating solutions that are user-friendly, efficient, and scalable. Our team is made up of talented individuals from diverse backgrounds, and we are proud to be an inclusive and supportive work environment.

Key Responsibilities

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

• Accurately inputting, updating, and maintaining data into our database systems
• Collaborating with cross-functional teams to ensure data quality, accessibility, and reliability for analysis and reporting
• Developing and maintaining robust, adaptable data pipelines for ingesting, transforming, and storing large volumes of data to support marketing on blithequark.com and its subsidiaries
• Working on cloud platforms like Azure and Google Cloud for data storage, processing, and analysis
• Creating and deploying large-scale, containerized applications using Docker and Kubernetes on public clouds like Google GCP and Microsoft Azure
• Participating in day-to-day operations and responding to potential emergency situations to investigate production issues across cross-functional teams

What You'll Bring

To be successful in this role, you will need to demonstrate:

• A strong 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 message processing using Apache Kafka
• Experience in designing and implementing data models for effective capacity and recovery
• A growth-oriented mindset and a willingness to raise the technical bar, as well as identify potential opportunities for improving existing processes, tools, and systems to achieve high scale and efficiency
• Experience working with Docker and Kubernetes, as well as Distributed Computing Services like Google GCP and Microsoft Azure, and Distributed Storage Systems like Hive and Hadoop

Essential Qualifications

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

• 2+ years of experience in data entry, data analysis, or related field
• Strong understanding of 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)

Preferred Qualifications

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

• 5+ years of experience in data entry, data analysis, or related field
• Experience with real-time message processing using Apache Kafka
• Experience in designing and implementing data models for effective capacity and recovery
• Experience working with Docker and Kubernetes, as well as Distributed Computing Services like Google GCP and Microsoft Azure, and Distributed Storage Systems like Hive and Hadoop

Skills and Competencies

* Strong analytical and problem-solving skills

• Excellent communication and interpersonal skills
• Ability to work effectively in a team environment
• Strong attention to detail and ability to meet deadlines
• Ability to adapt to changing priorities and deadlines
• Strong understanding of 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)

Career Growth Opportunities and Learning Benefits

At blithequark, we are committed to helping our employees grow and develop their careers. We offer a range of training and development opportunities, including:

• On-the-job training and mentorship
• Access to online courses and training programs
• Opportunities for career advancement and professional growth
• Collaborative and supportive work environment
• Recognition and rewards for outstanding performance

Work Environment and Company Culture

We are proud to be an inclusive and supportive work environment that values diversity, equity, and inclusion. Our team is made up of talented individuals from diverse backgrounds, and we are committed to creating a workplace that is welcoming and inclusive for all.

Compensation, Perks, and Benefits

We offer a competitive salary and benefits package, including:

• Competitive salary and bonus structure
• Comprehensive health insurance and wellness programs
• Retirement savings plan and matching contributions
• Paid time off and holidays
• Flexible work arrangements and remote work options
• Access to on-site fitness center and wellness programs
• Recognition and rewards for outstanding performance

How to Apply

If you are a motivated and detail-oriented individual with a passion for data analysis and cloud application development, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you! Apply for this job