Senior AWS Data Engineer

act digital; Lisboa; Presencial; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

act digital is seeking a Senior Data Engineer to design and develop cloud-native data solutions in AWS and Snowflake. You will join an Agile team to build scalable pipelines, govern data, and deliver high-quality datasets for business decisions.

Responsibilities include creating data pipelines, optimizing queries, and collaborating with analysts and product owners to drive data-driven outcomes. Strong Python and SQL skills, plus AWS experience, are required.

Qualificações

• Bachelor’s degree in Engineering, CS, IT, or related field.
• Hands-on experience with AWS services (S3, ECS, Lambda, RDS, SNS, SQS, IAM, CloudWatch).
• Strong SQL skills and experience with analytical databases.
• Experience with non-relational and graph databases.
• Proficiency in Python with Pandas and Boto3.
• Solid understanding of Data Architecture and Data Governance.

Responsabilidades

• Design, develop, and maintain data pipelines from APIs, FTP/SFTP.
• Build scalable batch and streaming data processing solutions.
• Implement monitoring, logging, and alerting for data quality.
• Design and optimize complex datasets for business needs.
• Contribute to Data Governance via metadata and documentation.
• Develop and maintain database objects and SQL scripts.
• Optimize SQL queries and data models for performance.
• Collaborate with Analysts, Product Owners, and stakeholders.
• Participate in incident resolution and production support.
• Follow engineering best practices and evolve data architecture.

Conhecimentos

Agile mindset

Analytical skills

Troubleshooting

Communication

Ownership

Quality focus

Formação académica

Bachelor's degree in Engineering/Computer Science/Information Technology

Ferramentas

AWS

Snowflake

dbt Core

Airflow

GitHub

GitLab

Terraform

CloudFormation

Tableau

Descrição da oferta de emprego

We are looking for a Senior Data Engineer with strong experience in designing and developing cloud-native data solutions within AWS and Snowflake environments.

You will join an Agile Scrum team and be responsible for building, maintaining, and optimizing scalable data pipelines, supporting Data Governance initiatives, and delivering high-quality datasets that enable business decision-making.

Responsibilities

• Design, develop, and maintain data pipelines that ingest and transform data from multiple sources, including APIs, FTP, and SFTP.
• Build scalable batch and streaming data processing solutions.
• Implement monitoring, logging, and alerting mechanisms to ensure data reliability and quality.
• Design, manage, and optimize complex datasets that support business and analytical requirements.
• Contribute to Data Governance initiatives through metadata management and documentation.
• Develop and maintain database objects, including tables, views, stored procedures, and SQL scripts.
• Optimize SQL queries and data models to ensure performance and scalability.
• Collaborate with Data Analysts, Product Owners, and other stakeholders to deliver data-driven solutions.
• Participate in incident resolution, production support, and continuous platform improvements.
• Follow engineering best practices and contribute to the evolution of the data architecture.

Requirements

• Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field.
• Hands-on experience with AWS services, including S3, ECS, Lambda, RDS, SNS, SQS, IAM, and CloudWatch.
• Strong SQL skills and experience working with analytical databases.
• Experience with non-relational and graph databases.
• Proficiency in Python, including libraries such as Pandas and Boto3.
• Solid understanding of Data Architecture and Data Governance principles.
• Strong problem-solving skills and attention to detail.
• Professional proficiency in English.

Nice to Have

• Experience with Snowflake.
• Knowledge of dbt Core.
• Experience with CI/CD practices and DevOps methodologies.
• Hands-on experience with orchestration tools such as Apache Airflow, AWS Step Functions, or Prefect.
• Experience with GitHub or GitLab.
• Knowledge of Tableau or other data visualization tools.
• Experience with Terraform or CloudFormation.
• AWS and/or Snowflake certifications.
• Portuguese and/or French language skills.

What We're Looking For

• Strong Agile mindset and collaborative approach.
• Excellent analytical and troubleshooting skills.
• Ability to work independently and take ownership of solutions.
• Focus on quality, performance, and continuous improvement.
• Effective communication skills and ability to work with cross-functional teams.
• A proactive attitude, curiosity, and passion for Data Engineering.