Senior Aws Data Engineer
Driven by innovation and excellence, Pictet Technologies has been shaping the future since 2016. As the technology center of the Pictet Group, we are proud to support one of Europe's leading independent wealth and asset managers by developing
- edge solutions for its business lines.
Recognized as a Great Place to Work for eight years, we first established ourselves in Luxembourg before expanding to Lisbon in 2022. Today, we are entering a new phase with the
- off of our Data Engineering team in Lisbon. Our ambition is clear: to grow a strong team of experts and build a thriving community of specialists across locations.
We are looking for passionate individuals eager to be part of this new chapter. You will join a dynamic and collaborative environment, contribute to meaningful projects, and help shape the future of Data Engineering at Pictet Technologies, always with a
- term vision and a deep commitment to the Group's success.
We are seeking a senior Data Engineer with expertise in
- native data pipeline development within AWS environments and Snowflake. The ideal candidate will have a strong background in data architecture, data modelling, and the ability to implement
- performance data solutions that support our business objectives. You will join the Scrum team of one of our product as part of the development team and collaborate with data analysts and internal teams to ensure the delivery and the run of the product in line with the sprint backlog.
In this context, your role will include:
Data Pipeline Development:
Implement
- based data pipelines to transform raw data from various sources (e. g. APIs, FTP, SFTP) into structured formats.
Architect and deploy
- performance (batch and streaming) data pipelines with monitoring and alerting system implemented for data analysts and business users.
Data Management:
Assemble and manage large, complex datasets that meet both functional and
- functional business requirements.
Support data governance initiatives by cataloguing and describing metadata.
Implement functional and
- functional tests on data.
Data Modelling and Analysis:
Perform data modelling and design appropriate database objects (views, tables, procedures, scripts).
Analyze and optimize queries for performance and scalability.
Collaboration and Support Production:
Participate in troubleshooting, monitoring, and user support activities.
Work closely with
- functional teams to gather requirements and implement solutions.
Continuous Improvement:
Code according to established architecture guidelines and focus on improving the scalability and performance of data products.
Stay updated with the latest industry trends and technologies to enhance data engineering practices.
Our ideal candidates should have:
Mandatory skills
University degree in Engineering or related discipline
Proven experience in data pipelining and related technologies on AWS (S3, ECS, Lambda, RDS, SNS/SQS, IAM, Cloudwatch)
Extensive experience with analytical database programming (SQL) and unstructured data/graph databases
Good skills in writing complex SQL queries, knowledge of DBT core is a plus
Proficient in Python and
- related libraries (e. g. Pandas, Boto3)
Strong understanding of data platform architecture and data governance principles
Reel asset
Deep knowledge of developing on Snowflake is a plus
Adoption of CI/CD practices
Experience using orchestration tools (e. g. Step Function, Airflow, Prefect)
Experience with version control tool such as Git
Hub or Git
Lab
Knowledge of data visualization tools (e. g. , Tableau) is a plus
Knowledge of Infrastructure as code (e. g. Cloud
Formation, Terraform)
AWS certification (e. g. , Solution Architect or equivalent) is preferred
Snowflake certification (e. g. Snow
Pro Core) is preferred
And also:
An agile
- set. It's not a buzz word: agility is about collaboration, growing together, supporting more junior team members, intellectual humility and strong desire to learn
Proven ability to deliver against deadlines with a strong analytical and
- solving skills
Detail-oriented with a focus on quality and performance
Ability to work effectively in an Agile environment using tools like Jira
Excellent communication skills
Fluent in English, Portuguese and/or French is a plus
Team player with a proactive approach to challenges and continuous improvement.
In addition to solid technical knowledge and experience, we are looking for passionate individuals with a
- rounded personality and a good sense of humour: we don't compromise on these.
What we offer:
An innovative and supportive working culture fostering collaboration, professional development and learning opportunities
Top-notch technologies and premium hardware
An opportunity to work and grow alongside inspiring individuals
A room for open and meaningful discussions across the organization and locations
A safe place to share and promote your ideas and vision
Lifestyle in line with the tech world: flexitime, state of the art facilities, dynamic organization
Non-negotiable values: excellence, integrity, respect, fun
Limited travel required. Please note that a Portuguese valid work permit is required. Thank you.
Please note that only applications meeting the key requirements will be considered.
If you are passionate about software technologies, get in touch and contact us at?
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Poderá encontrar o anúncio original publicado em: https://www.itjobs. pt/oferta/496809/senior-aws-data-engineer
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