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Aws data engineering lead

Viseu
Alter Solutions Group
Anunciada dia 14 outubro
Descrição

.Your Connection With Aubay Starts In The Following LinesAubay Portugal is a multinational French company, in Portugal since ****.
We have offices in Lisbon and Oporto and we are a specialized consultant in Management, Implementation, Development and Maintenance of Information Systems.
We have more than 150 active partners and we operate in sectors such as banking, insurance, telecommunications, services, energy and transports.
What are you going to do?
Utilise expert knowledge of AWS services like Lambda, Glue, and Step Functions to design, implement, and maintain scalable data solutions.
Develop robust solution architectures considering scalability, performance, security, and cost optimisation.
Demonstrate proficiency in cloud networking, including VPCs, subnets, security groups, and routing tables.
Design efficient data models for optimal query performance.
Write and optimise SQL queries and identify performance bottlenecks.
Knowledge to manage ETL processes and data integration into Redshift, MySQL, and PostgreSQL Create documentation and provide training to team members.
Set up and manage logging and tracing mechanisms in AWS using services like AWS CloudTrail and AWS X-Ray.
Implement orchestration solutions using Apache Airflow and AWS Step Functions.
Utilise Athena for interactive query analysis of large datasets in Amazon S3.
Provide technical leadership and guidance, acting as a subject matter expert in AWS and data engineering technologies.
Write comprehensive solution documents and technical documentation.
Stay updated on emerging technologies and industry trends.
Challenge business requirements and propose innovative solutions for efficiency and performance improvement What are we looking for?
Expertise in AWS: Extensive experience with AWS services, including Lambda, Glue, Step Functions, CloudFormation, and CloudWatch.
Strong Solution Architecture Knowledge: Ability to design scalable and efficient data solutions on AWS, adhering to best practices for cloud architecture and infrastructure.
Proficiency in Python and Databases: Strong programming skills in Python and experience with relational databases (MySQL, PostgreSQL, Redshift) and NoSQL databases.
Orchestration and Workflow Management: Experience with orchestration tools such as Apache Airflow and AWS Step Functions for automating and managing data workflows.
ETL Tools and Big Data Experience: Knowledge of ETL tools and experience working with large volumes of data, with a preference for experience with Kafka.
Experience with Iceberg Tables: Familiarity with Iceberg tables for managing large datasets efficiently, ensuring data consistency, and supporting ACID transactions.
Production Awareness and Troubleshooting: Proactive approach to production monitoring and troubleshooting, with the ability to anticipate and mitigate potential issues

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