About the Role
We are looking for an AWS Data Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining data pipelines and infrastructure to support our data-driven initiatives. You will work closely with cross-functional teams to ensure data quality, security, and scalability. Your expertise in AWS services and data engineering principles will be crucial in driving our data strategy forward.
Responsibilities
- Design and implement scalable and efficient data pipelines using AWS services.
- Collaborate with data scientists, analysts, and engineers to understand data requirements and deliver solutions.
- Ensure data quality, security, and compliance with relevant regulations.
- Monitor and optimize data infrastructure for performance and cost-effectiveness.
- Develop and maintain data models and schemas.
- Provide technical guidance and mentorship to junior team members.
- Stay up-to-date with the latest AWS services and best practices in data engineering.
- Participate in on-call rotations to ensure system availability and reliability.
- Work with cross-functional teams to integrate data solutions into existing systems.
- Document data processes, architectures, and best practices.
- Troubleshoot and resolve data-related issues and incidents.
- Contribute to the development of data governance policies and procedures.
- Implement data security measures to protect sensitive information.
- Conduct performance tuning and optimization of data workloads.
- Support data migration projects and ensure data integrity during transitions.
- Assist in the development of data visualization and reporting tools.
- Engage in continuous improvement of data engineering practices and processes.
- Collaborate with stakeholders to define data requirements and deliverables.
- Develop and maintain ETL (Extract, Transform, Load) processes.
- Implement data warehousing solutions using AWS services.
- Ensure compliance with data privacy and protection regulations.
- Provide technical support and troubleshooting for data-related issues.
Nice to Have
- Certification in AWS Certified Data Analytics – Specialty or similar.
- Experience with Apache Spark, Hadoop, or similar big data technologies.
- Familiarity with data lakes and data warehousing solutions.
- Experience with machine learning and AI integration in data pipelines.
- Knowledge of data streaming and real-time data processing.
- Experience with data governance and compliance frameworks.
- Familiarity with cloud security best practices and standards.
- Experience with data integration and API development.
- Knowledge of data visualization and reporting tools.
- Experience with Agile methodologies and DevOps practices.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation.
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work arrangement with flexible hours
Team
Collaborative and innovative team environment
What we offer
- Competitive salary and benefits package
- Opportunities for professional development and growth
- Flexible work arrangements and hybrid work options
- Collaborative and innovative team environment
- State-of-the-art tools and technologies
- Visa sponsorship for eligible candidates
- Health, dental, and vision insurance
- Retirement savings plans
- Paid time off and holidays
- Employee assistance programs
- Training and development opportunities
- Performance bonuses and incentives
Our Values
- Innovation and creativity
- Collaboration and teamwork
- Integrity and transparency
- Customer focus and excellence
- Sustainability and responsibility
- Diversity and inclusion
- Continuous improvement and learning
- Respect and fairness
- Accountability and ownership
- Passion and dedication
Application Process
- Submit your resume and cover letter
- Complete an online assessment
- Participate in a technical interview
- Attend a behavioral interview
- Provide references and background check
- Receive a job offer and onboarding information
Next Steps
- Review the job description and qualifications
- Prepare your application materials
- Submit your application through our careers portal
- Follow up with the recruiting team if needed
- Attend any scheduled interviews or assessments
- Receive feedback and next steps from the hiring team
Equal Opportunity Employer
- We are an equal opportunity employer
- We do not discriminate based on race, color, religion, sex, national origin, age, disability, or any other protected status
- We encourage all qualified candidates to apply
- We provide reasonable accommodations for individuals with disabilities
- We promote a diverse and inclusive workplace
- We value and respect all individuals
- We foster a culture of belonging and respect
- We are committed to fair and equitable hiring practices
- We support and celebrate diversity in all its forms
- We strive to create an inclusive and welcoming environment for all employees
Visa sponsorship available for eligible candidates
