Experienced Full Stack Data Entry Specialist – Web & Cloud Application Development

Join blithequark, a leading retail giant, in a dynamic and fast-paced environment where you'll have the opportunity to utilize your communication and data entry skills to contribute to the company's success. As a Full Stack Data Entry Specialist, you'll be part of a team of data enthusiasts who are passionate about building intelligent data systems that drive business insights.

About blithequark

blithequark is a vibrant community of data experts who are dedicated to tackling complex business challenges through innovative data solutions. With a strong focus on data-driven decision-making, we're constantly pushing the boundaries of what's possible with data analytics, machine learning, and artificial intelligence. Our team is passionate about creating a culture of collaboration, innovation, and continuous learning, where everyone has the opportunity to grow and thrive.

Job Summary

We're seeking an experienced Full Stack Data Entry Specialist to join our team of data enthusiasts. As a key member of our data team, you'll be responsible for designing, implementing, and maintaining data systems that drive business insights and inform strategic decision-making. You'll work closely with cross-functional teams to understand business needs and develop data solutions that meet those needs.

Key Responsibilities

* Recognize potential solutions to business challenges through analytics, large data analytics, and automation

• Develop and maintain data models, including data integration, data quality, and data governance
• Design and implement data pipelines, including ETL/ELT processes, data warehousing, and data engineering
• Collaborate with data engineers and data scientists to develop and maintain data systems
• Provide data insights and recommendations to business stakeholders, including data visualization and reporting
• Develop and maintain data quality and data integrity, including data validation and data cleansing
• Work with cross-functional teams to understand business needs and develop data solutions that meet those needs
• Proactively communicate status, issues, and risks to management
• Develop and maintain data documentation, including data dictionaries and data lineage

Essential Qualifications

* Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field

• 5+ years of experience working with large, complex, and diverse datasets in enterprise-scale data warehousing or data engineering environments
• Experience designing, implementing, and maintaining ETL/ELT pipelines to deliver high-quality data
• Strong programming skills in Python or a similar language
• Experience working with data modeling tools, such as ERWIN or Visio
• Experience working with social SQL and NoSQL databases, including Hadoop, Google BigQuery, DataPlex, Amazon Redshift, Hive, and others
• Experience working with reporting tools, such as Tableau or Looker
• Experience working with workflow management tools, such as Airflow or Digdag
• Experience working with CI/CD pipelines and tools, such as Jenkins or GitLab
• Experience working with cloud-based technologies and big data systems

Preferred Qualifications

* Experience working with metadata management, data lineage, and data quality using tools like Collibra

• Experience with data science and machine learning, including data visualization and data storytelling
• Experience working with cross-functional teams to develop and implement data solutions
• Experience with data governance and data security, including data encryption and access control
• Experience with data architecture and data engineering, including data warehousing and data lakes

Skills and Competencies

* Strong analytical and problem-solving skills, with the ability to think critically and creatively

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Strong programming skills, with experience working with Python or a similar language
• Experience working with data modeling tools, such as ERWIN or Visio
• Experience working with social SQL and NoSQL databases, including Hadoop, Google BigQuery, DataPlex, Amazon Redshift, Hive, and others
• Experience working with reporting tools, such as Tableau or Looker
• Experience working with workflow management tools, such as Airflow or Digdag
• Experience working with CI/CD pipelines and tools, such as Jenkins or GitLab
• Experience working with cloud-based technologies and big data systems

Career Growth Opportunities and Learning Benefits

* Opportunities for professional growth and development, including training and mentorship programs

• Collaborative and dynamic work environment, with a focus on innovation and continuous learning
• Access to cutting-edge technologies and tools, including data analytics and machine learning platforms
• Opportunities to work on high-impact projects and contribute to the company's success
• Recognition and rewards for outstanding performance and contributions to the team

Work Environment and Company Culture

* Collaborative and dynamic work environment, with a focus on innovation and continuous learning

• Opportunities to work with a diverse and talented team of data enthusiasts
• Access to cutting-edge technologies and tools, including data analytics and machine learning platforms
• Flexible work arrangements, including remote work options
• Recognition and rewards for outstanding performance and contributions to the team

Compensation, Perks, and Benefits

* Competitive salary and benefits package, including health insurance, retirement plans, and paid time off

• Opportunities for professional growth and development, including training and mentorship programs
• Collaborative and dynamic work environment, with a focus on innovation and continuous learning
• Access to cutting-edge technologies and tools, including data analytics and machine learning platforms
• Recognition and rewards for outstanding performance and contributions to the team

How to Apply

If you're a motivated and talented data enthusiast who is passionate about building intelligent data systems, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for the role. We can't wait to hear from you! Apply for this job