Senior AWS Data Engineer
Senior AWS Data Engineer
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Job Description
Job Title: Senior AWS Data Engineer
Location: Lisbon Portugal
Work Regime: Fulltime & Hybrid 2x office)
Step into a dynamic ecosystem where the future of business is created and lived every day. Be part of it!
At LUZA Group passion perseverance and the drive to excel define our path to success.
Founded in 2006 we are a Portuguese multinational with over 1200 talented professionals and a turnover surpassing 30M. With a strong presence in key marketsPortugal Spain Morocco Brazil Mexico the United States and Chinawe deliver innovative solutions in engineering IT design consulting Industry 4.0 training and recruitment. Our people and their talent power everything we do.
This is a moment of growth and opportunity. The future belongs to visionary minds. Will you join us
Overview / Summary:
Were seeking a Senior Data Engineer to drive cloudnative data pipeline development within our AWS and Snowflake environments. This role demands a strong foundation in data architecture and modeling coupled with the ability to build highperformance data solutions that directly support our strategic business goals. Youll integrate into a products Scrum team collaborating closely with data analysts and internal stakeholders to ensure seamless delivery and operational excellence aligning with sprint objectives.
Responsibilities and Tasks:
- Design and deploy robust cloudbased data pipelines to efficiently transform diverse raw data sources (APIs FTP SFTP) into structured actionable formats.
- Architect and implement highperformance scalable data pipelines (batch and streaming) with comprehensive monitoring and alerting systems for data analysts and business users.
- Curate and manage large complex datasets ensuring they meet both functional and nonfunctional business requirements.
- Contribute to data governance initiatives through meticulous metadata cataloging and documentation.
- Implement rigorous functional and nonfunctional data testing protocols.
- Develop sophisticated data models and design optimized database objects (views tables procedures scripts).
- Conduct indepth query analysis and optimization for performance and scalability.
- Actively participate in troubleshooting monitoring and user support ensuring uninterrupted data operations.
- Collaborate seamlessly with crossfunctional teams to gather requirements and deliver effective data solutions.
- Adhere to established architectural guidelines driving improvements in data product scalability and performance.
- Stay abreast of emerging industry trends and technologies to enhance data engineering practices.
Required Qualifications:
- Bachelors degree in Engineering or a related field.
- Extensive experience in data pipelining and AWS services (S3 ECS Lambda RDS SNS/SQS IAM CloudWatch).
- Proven expertise in analytical database programming (SQL) and unstructured/graph databases.
- Advanced SQL query writing skills; DBT core proficiency is a plus.
- Proficiency in Python and data libraries (Pandas Boto3.
- Strong understanding of data platform architecture and data governance.
Preferred Qualifications:
- Deep expertise in Snowflake development.
- Experience with CI/CD implementation.
- Proficiency with orchestration tools (Step Functions Airflow Prefect).
- Experience with version control (GitHub GitLab).
- Knowledge of data visualization tools (Tableau).
- Experience with Infrastructure as Code (CloudFormation Terraform).
- AWS or Snowflake certifications (Solution Architect SnowPro Core).
#VisionaryFuture Build the future join our living ecosystem!
Employment Type
Full Time
