Experienced Data Engineer - Python & AWS Expertise for Cloud-Based Data Solutions Development

Introduction to workwarp and Kyndryl

At workwarp, we are passionate about driving innovation and excellence in the field of data engineering. As part of the Kyndryl family, a leading provider of mission-critical technology systems, we are committed to designing, building, managing, and modernizing the systems that the world depends on every day. Our company culture is built on the principles of equity, inclusion, and diversity, and we strive to create a workplace where all employees can bring their whole selves to work and thrive.

About the Role

We are seeking an experienced Data Engineer with expertise in Python and AWS to join our team. As a Data Engineer at workwarp, you will play a critical role in designing, developing, and implementing cutting-edge data solutions that drive business value. You will have the opportunity to work on complex projects, collaborate with cross-functional teams, and contribute to the development of our cloud-based data platforms.

Key Responsibilities

• Design, develop, and implement data pipelines and architectures using Python and AWS services such as S3, Glue, and Redshift
• Develop and maintain large-scale data systems, including data warehousing, ETL, and data governance
• Collaborate with data scientists and analysts to design and implement data models and algorithms that drive business insights
• Ensure data quality, security, and compliance by implementing data validation, testing, and monitoring processes
• Work with cross-functional teams to integrate data solutions with other systems and applications
• Provide technical leadership and guidance to junior team members and contribute to the development of best practices and standards

Essential Qualifications

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

• 5+ years of experience working as a data engineer on complex data projects
• Excellent understanding of data engineering principles, including data modeling, data warehousing, and ETL
• Strong programming skills in Python, including experience with popular libraries such as Pandas, NumPy, and Scikit-learn
• Experience working with AWS services, including S3, Glue, Redshift, and Lambda
• Knowledge of data governance, data quality, and data security principles and practices
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams

Preferred Qualifications

While not required, the following qualifications are preferred:

• Bachelor's degree in Computer Science, Data Science, or a related field
• Experience working with cloud-based data platforms, including AWS, Azure, or Google Cloud
• Knowledge of machine learning and deep learning principles and practices
• Experience working with agile development methodologies and version control systems such as Git
• Certification in AWS, such as AWS Certified Data Engineer or AWS Certified Solutions Architect

Skills and Competencies

To be successful in this role, you will need to possess the following skills and competencies:

• Strong technical skills, including programming, data modeling, and data engineering
• Excellent problem-solving and analytical skills, with the ability to break down complex problems into manageable components
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Ability to work in a fast-paced environment, with multiple priorities and deadlines
• Strong attention to detail, with a focus on delivering high-quality results

Career Growth Opportunities

At workwarp and Kyndryl, we are committed to helping our employees grow and develop in their careers. As a Data Engineer, you will have the opportunity to work on complex projects, collaborate with experienced professionals, and develop new skills and competencies. With dedication and hard work, you can advance to senior roles, such as Senior Data Engineer or Data Architect, and take on additional responsibilities and challenges.

Work Environment and Company Culture

Our company culture is built on the principles of equity, inclusion, and diversity, and we strive to create a workplace where all employees can bring their whole selves to work and thrive. We offer a collaborative and dynamic work environment, with opportunities to work on complex projects and contribute to the development of our cloud-based data platforms. Our employees are passionate about innovation, creativity, and excellence, and we are committed to helping them grow and develop in their careers.

Compensation, Perks, and Benefits

We offer a competitive salary and benefits package, including health insurance, retirement savings, and paid time off. Our employees also have access to a range of perks and benefits, including professional development opportunities, flexible work arrangements, and employee recognition programs.

Conclusion

If you are a motivated and experienced Data Engineer with expertise in Python and AWS, we encourage you to apply for this exciting opportunity. As a member of our team, you will have the opportunity to work on complex projects, collaborate with experienced professionals, and contribute to the development of our cloud-based data platforms. With a competitive salary and benefits package, a collaborative and dynamic work environment, and opportunities for career growth and development, this is an opportunity not to be missed.

Apply now to join our team and take the first step towards an exciting and rewarding career as a Data Engineer at workwarp and Kyndryl.