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AWS Data Architect

USA, Florida, West Palm Beach

  • Negotiable
  • Architect Stelle
  • Fähigkeiten: Amazon Glue, Amazon Lake Formation, Amazon Redshift, Amazon S3, ETL, MongoDB Opensource, Python, Scrum, Data Lake, Data Warehousing
  • Seniority: Senior

Jobbeschreibung

Job Description

The role requires expertise in Data Warehouse/Data Lake platforms, relational, and NoSQL databases, along with big data skills. Responsibilities involve building and improving data platforms, collection systems, and processing pipelines. Tasks include coordinating development efforts across platforms and data integration between systems.

Role & Responsibilities

* Coding to create solutions, prototypes, and contribute to development work
* Designing, building, moving, and stabilizing Data Warehouse/Data Lake platforms
* Analyzing different types of data to optimize relevant information
* Ensuring coordination between engineering and analytical tasks
* Improving platform performance, monitoring, and troubleshooting
* Guiding team members on data optimization, code deployment, and query enhancement tasks

Desired Skills & Qualifications

* Professional expertise in developing backend systems, SQL, and data modeling
* Hands-on coding skills and knowledge of database technologies such as Amazon Redshift and MongoDB Opensource
* Proficiency in Python scripting and experience with ETL processes using Amazon Glue
* Familiarity with building and optimizing Data Warehouse/Data Lake platforms like Amazon S3 and Amazon Lake Formation
* Experience with ETL tools, cloud-based data solutions, and various types of databases
* Knowledge in dimensional modeling, scripting languages, and OLTP database solutions
* Experience managing the entire lifecycle of data engineering projects using Scrum methodology
* Effective communication skills and familiarity with Agile or Lean Software Development
* Self-motivated with strong project management abilities

Benefits

* A fantastic work environment that encourages empowerment, meaningful contributions, and continuous learning.
* Flexible time-off policy
* Comprehensive benefits package, (medical, dental, vision, and life insurance)
* Company-matched 401(k) retirement savings plan

Neu

AWS Data Engineer - Finland - Finnish Speaking

Finland, Helsinki

  • Up to €6,000 EUR
  • Data Science Stelle
  • Seniority: Senior

Jobbeschreibung

AWS Data Engineer

Location: Helsinki, Finland (Hybrid)

Salary: Up to €6000/month

Language Requirement: Finnish language skills required



About the Role

We are seeking an experienced AWS Data Engineer to join our dynamic team in Helsinki. This role offers the opportunity to work on cutting-edge data warehousing (DWH) projects, leveraging AWS technologies and Snowflake. You'll be instrumental in designing, implementing, and maintaining scalable data solutions critical for our business operations and decision-making processes.



Key Responsibilities

- Data Warehousing: Design, develop, and maintain robust data warehousing solutions using AWS and Snowflake.

- Data Integration: Integrate data from various sources, ensuring data quality and consistency.

- Optimization: Optimize data workflows and performance within the cloud environment.

- Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand data needs and translate them into technical solutions.



Required Skills & Experience

- AWS Expertise: Proven experience with AWS services, particularly in data-related services like Redshift, S3, and Glue.

- Snowflake Experience: Strong knowledge and hands-on experience with Snowflake.

- Data Management: Solid understanding of data modeling, ETL processes, and data warehousing best practices.

- Programming Skills: Proficiency in SQL, and experience with programming languages like Python or Scala is a plus.

- Communication Skills: Must be fluent in Finnish to effectively collaborate with our local team and clients.



Work Environment

- Hybrid Working: Enjoy a balanced work environment with two days in the office each week, fostering both collaboration and flexibility.

- Location: Based in Helsinki, you will be part of a vibrant and innovative team working on projects that have a significant impact.





If you are a skilled AWS Data Engineer with experience in DWH and Snowflake, and you're ready to take the next step in your career, we would love to hear from you! Join us and contribute to our mission of leveraging data to drive business success.

DevOps Engineer

England, London, City of London

  • £55,000 to £65,000 GBP
  • DevOps Stelle
  • Fähigkeiten: AWS, DevOps
  • Seniority: Mid-level

Jobbeschreibung

DevOps Engineer

£65K Base + UK wide remote

Who we are:

We help our customers see the value in Data. Partnered with Amazon, Oracle and HP we've built an API-first Platform that helps our customers optimize their marketing by using data driven approaches to improve marketing campaigns and lead quality.

The role:

As a DevOps Engineer we can offer you ownership projects as you help build and scale our AWS hosted platform. This role combines building new AWS infrastructure using Terraform and containerizing our platform with Kubernetes (EKS). We are looking into migrating our platform into AWS Serverless so will certainly be training people on AWS Lambda and API Gateway.

Progression:

With ownership on DevOps projects, there's a clear progression into a Senior role within the team. With AWS being one of our biggest customers we also doing lot's of work trailing newer technologies such as GenAI, AI & ML and AWS Serverless - we can offer dedicated training across all these areas!

Experience we're looking for:

* AWS experience, core services, networking (VPC) & Security
* We use Terraform for IaC
* Containers, EKS & Docker
* Any CI/CD tooling

Benefits:

* Base salary up to £65,000, depending on experience.
* Remote working
* Training and Development, Pluralsight membership.
* 25 days Holiday + Bank
* Pension

We have an office based in Shoreditch but we are fully remote as a company.

Please apply directly to this advert. Alternatively you can contact me on email m.tembe@jeffersonfrank.com or reach out on LinkedIn "Marcus Tembe".

DevOps Engineer (m/w/d) - AWS oder Azure - Remote

Germany

  • Verhandelbar
  • DevOps Stelle
  • Fähigkeiten: DevOps mit Schwerpunkt Cloud (AWS oder Azure)
  • Seniority: Mid-level

Jobbeschreibung

DevOps Engineer (m/w/d) - AWS oder Azure - Remote



Das erwartet dich:

* Im ersten Monat eine umfangreiche Einarbeitung mit Mentor in die Werte und Arbeitsweisen des Arbeitgebers sowie Shadowing des Mentors in Kundenprojekten für Einblicke in die bestehenden Plattformen, Vorgehensweisen und Best Practices
* In den ersten drei Monaten alle Kunden und Stakeholder kennenlernen, Raum bekommen um selbst auch die Arbeitsprozesse mitzugestalten, erste Cloud Projekte mit Cloud Services erstellen und diese Projekte in den Bereichen Energie, Automotive und Versicherungen voranbringen
* Darüber hinaus CI/CD Pipelines in Azure DevOps implementieren und verwalten
* Build-, Test- und Bereitstellungsprozesse für Anwendungen und Infrastrukturen automatisieren
* Release-Management-Workflows und Umgebungen in Azure DevOps konfigurieren
* Azure Ressourcen über IaaC Tools wie Terraform verwalten
* Dich weiterbilden und die nächste Zertifizierung anstreben
* In Zusammenarbeit mit dem Team agile Prozesse unterstütze und DevOps Praktiken fördern



Anforderungen:

* Mehrjährige Berufserfahrung im Bereich DevOps und Microsoft Azure oder AWS Cloud
* Zertifizierungen vorteilhaft oder das Engagement diese kurzfristig zu erreichen (zB: Azure DevOps Engineer Expert, Azure Administrator Associate, Azure Solutions Architect Expert, Azure Network Engineer Associate, Azure Security Associate)
* Projekterfahrung mit Terraform, Azure Bicep und Azure DevOps sowie PowerShell
* Verständnis von Kundenanforderungen und deren Umwandlung in strategische und operative Lösungen
* Agiles Mindset und Erfahrung mit Methoden wie Kanban und CI/CD
* Kenntnisse zu Serverless Services, virtuellen Netzwerken, Cloud Adoption Framework und PaaS sowie mit Linux und Windows
* Bereitschaft zur aktiven Mitgestaltung der eigenorganisierten Cloud-Abteilung
* Wohnsitz in Deutschland und Bereitschaft sich Anlassbezogen zu Treffen



Benefits:

* Möglichkeit full Remote zu arbeiten (jedoch gelegentliche Treffen als Team gewünscht)
* Unterstützung des Arbeitgebers bei deiner beruflichen Weiterbildung und -Entwicklung durch Zertifizierungen der Cloud Partner AWS und Azure
* Hohe Mitgestaltung der Abteilung, da Entscheidungen durch die Mitarbeiter und nicht Führungskräfte getroffen werden
* Flexible Arbeitszeitgestaltung durch Gleitzeitkonto
* Innovativer technologischer Fortschritt in relevanten Bereichen wie der Energiebranche
* Dynamisches Umfeld mit offener Kommunikation und wertschätzender Kultur



Impressum - https://www.frankgroup.com/de/impressum/

AWS Data Engineer

USA, Florida, West Palm Beach

  • $80,000 to $90,000 USD
  • Data Science Stelle
  • Fähigkeiten: Amazon Elasticsearch Service, Amazon Glue, Amazon Lake Formation, Amazon Redshift, ETL, MongoDB Opensource, MySQL, Python
  • Seniority: Junior

Jobbeschreibung

Job Title: Data Engineer

Location: Remote within the US (Eastern Time Zone preferred)

Salary: Up to $80,000 - $90,000 base, with a 401k match up to 4%



Role Overview: We are seeking a Data Engineer with 1-2 years of experience in data management. The ideal candidate will be responsible for setting up data warehouses, data lakes, and ETL pipelines. This role involves building, maintaining, and improving our data infrastructure, as well as rearchitecting systems, shutting down old processes, and ensuring overall data cleanliness and streamlining.



Role Requirements:

* 1-2 years of experience in Data Engineering
* Experience in setting up data warehouses, data lakes, and ETL pipelines
* Proficiency with either Redshift or Snowflake
* Familiarity with Glue or NiFi for data integration
* Strong skills in Python coding
* Experience with AWS Cloud services
* Ability to work independently in a remote environment
* Strong communication skills and ability cooperate with cross-functional teams



Responsibilities:

* Design, build, and maintain data warehouses, data lakes, and ETL pipelines
* Optimize existing data infrastructure for performance and scalability
* Rearchitect systems to improve efficiency and reliability
* Collaborate with stakeholders to understand data requirements and develop solutions
* Implement best practices for data management and governance
* Troubleshoot and resolve issues related to data processing and storage
* Document processes, workflows, and data models



Perks:

* Remote work within the US
* Opportunity to work in a growing industry with the newest technology
* Cooperative and supportive work culture
* Professional development opportunities