drjobs Senior AWS Data Engineer

Senior AWS Data Engineer

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Job Location drjobs

Lisbon - Portugal

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Title: Senior AWS Data Engineer

Location: Lisbon Portugal

Work Regime: Fulltime & Hybrid 2x office)


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.

Requirements

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!

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

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