Cloud Data Engineer

Vintti is a specialized staffing agency that believes diversity is the catalyst for innovation. We connect US-based SMBs, startups, and firms with exceptional talent from Latin America, fostering a rich tapestry of cultural perspectives within American businesses. Our unique position allows us to handpick professionals who not only possess the required skills but also bring fresh ideas and global insights to the table. Vintti's services go beyond filling positions; we enrich company cultures and expand business horizons on an international scale.

A Cloud Data Engineer is responsible for designing, building, and maintaining scalable cloud-based data infrastructure and solutions to handle large volumes of data seamlessly. They integrate, consolidate, and optimize data from various sources, ensuring high data quality and accessibility for analytics and business intelligence purposes. Utilizing tools and technologies specific to cloud platforms, they also focus on automating data workflows, securing data assets, and facilitating real-time data processing, enabling organizations to derive actionable insights and support data-driven decision-making.

- Bachelor's degree in Computer Science, Information Technology, or a related field
- Proven experience as a Cloud Data Engineer or similar role
- Proficiency in cloud platforms such as AWS, Google Cloud, or Azure
- Strong experience with ETL processes and data pipeline tools
- Expertise in programming languages such as Python, Java, or Scala
- Experience with infrastructure-as-code tools like Terraform or CloudFormation
- In-depth understanding of database systems, both SQL and NoSQL
- Knowledge of data warehousing concepts and tools like Redshift, BigQuery, or Snowflake
- Familiarity with data security and compliance regulations (e.g., GDPR, HIPAA)
- Strong problem-solving and troubleshooting skills
- Excellent understanding of data modeling and schema design
- Experience with data processing frameworks like Apache Spark or Hadoop
- Ability to write and maintain clear technical documentation
- Strong collaboration and communication skills
- Experience with DevOps practices and tools
- Familiarity with monitoring and logging tools for cloud environments
- Ability to handle multiple tasks and prioritize effectively in a fast-paced environment
- Demonstrated ability to optimize and tune database performance
- Experience in agile development methodologies
- Strong analytical skills and attention to detail
- Ability to automate routine tasks using scripting or other tools
- Experience in developing dashboards and reporting tools for data insights
- Proven ability to stay current with the latest technologies and integrate them effectively

- Design, develop, and deploy scalable cloud-based data processing solutions
- Implement and maintain ETL data pipelines from various data sources
- Monitor data pipeline performance and address issues and bottlenecks
- Collaborate with data scientists and analysts to gather data requirements
- Develop and manage cloud infrastructure with tools like Terraform or CloudFormation
- Optimize cloud data architectures for cost and performance
- Ensure data security and compliance with regulations and best practices
- Conduct data validation and quality checks
- Perform backups and disaster recovery drills
- Participate in code reviews and provide feedback
- Write and maintain technical documentation
- Integrate the latest cloud technologies into existing solutions
- Troubleshoot and resolve data-related issues promptly
- Automate routine tasks to enhance data processing efficiency
- Collaborate with DevOps and IT teams to manage and scale resources
- Create and manage data models and schemas according to business requirements
- Tune database performance for large-scale data systems
- Develop custom dashboards and reporting tools for data insights
- Participate in agile planning, stand-ups, and retrospectives

The ideal candidate for the Cloud Data Engineer role is a highly analytical and detail-oriented professional with a bachelor's degree in Computer Science, Information Technology, or a related field, coupled with proven experience in cloud-based data engineering. They possess strong proficiency in major cloud platforms such as AWS, Google Cloud, or Azure, as well as extensive experience with ETL processes and data pipeline tools. Their expertise in programming languages like Python, Java, or Scala, along with familiarity with infrastructure-as-code tools like Terraform or CloudFormation, allows them to develop, deploy, and maintain scalable data solutions efficiently. This candidate has a robust understanding of both SQL and NoSQL database systems, data warehousing concepts, and tools like Redshift, BigQuery, or Snowflake, ensuring optimal data architecture and performance. They demonstrate exceptional problem-solving skills, a meticulous approach to data modeling and schema design, and a comprehensive grasp of data security and compliance regulations such as GDPR and HIPAA. Moreover, they bring hands-on experience with data processing frameworks like Apache Spark or Hadoop and possess the ability to write and maintain clear technical documentation. Strong collaboration and communication skills enable them to work effectively with data scientists, analysts, and DevOps teams. They are adept at automating routine tasks, tuning database performance, and developing custom dashboards and reporting tools to deliver valuable data insights. Adaptable, innovative, and proactive, this individual is committed to continuous improvement, staying current with the latest technologies and integrating them effectively into existing solutions. A proven track record of successful project delivery, coupled with strong ethical standards regarding data security and compliance, makes them a valuable asset to any fast-paced and dynamic team.

- Design, develop, and deploy scalable cloud-based data processing solutions
- Implement data pipelines to extract, transform, and load (ETL) data from various sources
- Monitor and maintain data pipeline performance, addressing any issues or bottlenecks
- Collaborate closely with data scientists and analysts to understand data requirements and ensure data availability
- Develop and maintain cloud infrastructure using tools like Terraform or CloudFormation
- Optimize and refine existing cloud data architectures for cost efficiency and performance
- Ensure data security and compliance with relevant regulations and best practices
- Conduct data validation and quality checks to maintain data integrity
- Perform regular backups and disaster recovery drills to ensure data resilience
- Participate in code reviews and provide constructive feedback to team members
- Write and maintain detailed technical documentation for data infrastructure and processes
- Stay current with the latest advancements in cloud technologies and integrate them into existing solutions where applicable
- Troubleshoot and resolve data-related issues in a timely manner
- Automate routine tasks to streamline data processing and enhance productivity
- Collaborate with DevOps and IT teams to manage and scale cloud resources effectively
- Create and manage data models and schemas tailored to business needs
- Analyze and tune database performance for large-scale data systems
- Develop custom dashboards and reporting tools to provide data insights to stakeholders
- Participate in agile planning, stand-ups, and retrospectives to ensure continuous improvement and delivery.

- Strong analytical mindset and problem-solving abilities
- Highly detail-oriented with a focus on data accuracy and quality
- Strong communication and collaboration skills
- Proactive and able to work independently
- Ability to manage multiple tasks and prioritize effectively
- Adaptable and open to learning new technologies
- Strong understanding of cloud platforms and services
- Passionate about data and its application in business
- Team player with a positive attitude
- Excellent documentation skills
- Demonstrated ability to optimize and improve processes
- Strong project management and organizational skills
- Customer-focused with a strong sense of ownership and accountability
- Innovative and creative thinker
- Ability to troubleshoot complex technical issues
- Commitment to continuous improvement and professional development
- Strong ethical standards regarding data security and compliance
- Flexible and able to thrive in a fast-paced environment
- Proven track record of successful project delivery
- Strong coding and software development skills

- Competitive salary range based on experience
- Comprehensive health insurance (medical, dental, vision)
- 401(k) retirement savings plan with company match
- Generous paid time off (PTO) and holiday schedule
- Flexible work hours and remote work options
- Professional development opportunities and training programs
- Tuition reimbursement for continued education
- Employee wellness programs, including gym memberships and wellness activities
- Life insurance and disability coverage
- Employee assistance program (EAP) for mental health support
- Parental leave and family support services
- Stock options or equity participation (if applicable)
- Relocation assistance for eligible candidates
- Performance-based bonuses and incentives
- Career advancement and growth opportunities
- Inclusive and diverse work environment
- Access to the latest cloud technology tools and resources
- Collaborative and supportive team culture
- Regular team-building activities and social events