AWS Data Engineer
1 settimana fa
Modena, Emilia-Romagna, Italia
BairesDev
Da remoto
Tempo pieno
Gratuito con email o Google
Salva questo lavoro e mantieni la tua ricerca organizzata
Crea un account gratuito per salvare lavori, creare avvisi e tornare a questa inserzione dalla tua dashboard.
Gratuito con email o Google
Continuando accetti i nostri Termini & Informativa sulla privacy.
At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
As an AWS Data Engineer, you will design and maintain scalable data pipelines and warehousing solutions using AWS-native services. You will act as a key technical resource in transforming raw data into actionable insights while ensuring the performance and reliability of the cloud data platform.
What You'll Do
• Design and implement automated ETL pipelines using AWS Glue, Lambda, and Kinesis.
• Develop and optimize enterprise data warehouses using Amazon Redshift and S3.
• Manage infrastructure as code using Terraform or CloudFormation to ensure reproducible data environments.
• Write complex, high-performance data transformation logic using Python and SQL.
• Partner with technical teams to ensure data quality, security, and scalability across all AWS-native data services. What We Are Looking For
• 4+ years of experience in Data Engineering, Cloud Engineering, or related technical fields.
• Proven expertise in building and optimizing data pipelines using AWS-native services like Glue, EMR, and Lambda.
• Proficiency in managing large-scale data storage and warehousing solutions using Amazon S3 and Redshift.
• Hands-on experience with Infrastructure as Code tools, specifically Terraform or CloudFormation, for data environments.
• Strong programming skills in Python and advanced proficiency in SQL for complex data transformations.
• Advanced proficiency in English. How we do make your work (and your life) easier:
• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact Apply now
What You'll Do
• Design and implement automated ETL pipelines using AWS Glue, Lambda, and Kinesis.
• Develop and optimize enterprise data warehouses using Amazon Redshift and S3.
• Manage infrastructure as code using Terraform or CloudFormation to ensure reproducible data environments.
• Write complex, high-performance data transformation logic using Python and SQL.
• Partner with technical teams to ensure data quality, security, and scalability across all AWS-native data services. What We Are Looking For
• 4+ years of experience in Data Engineering, Cloud Engineering, or related technical fields.
• Proven expertise in building and optimizing data pipelines using AWS-native services like Glue, EMR, and Lambda.
• Proficiency in managing large-scale data storage and warehousing solutions using Amazon S3 and Redshift.
• Hands-on experience with Infrastructure as Code tools, specifically Terraform or CloudFormation, for data environments.
• Strong programming skills in Python and advanced proficiency in SQL for complex data transformations.
• Advanced proficiency in English. How we do make your work (and your life) easier:
• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact Apply now