Senior Data Engineer (GCP)
Senior Data Engineer (GCP)
Amaris Consulting5-7 Years
- Posted 12 hours ago
- Be among the first 10 applicants
Job Description
Job Description
ABOUT THE JOB
At Amaris Consulting, we believe in creating a thriving, positive workplace where every team member can grow, connect, and make a real impact. Here's what you can expect when you join our dynamic community:
At Amaris Consulting, we believe that diversity and inclusion are essential to building a workplace where everyone can thrive. We are committed to creating an inclusive environment where all employees and candidates are treated with respect and have equal opportunities, regardless of their background, identity, or personal characteristics.
Who are we
Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:
Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective Learn about you, understand your motivations, and make sure we have the right job for you!
Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
We look forward to meeting you!
ABOUT THE JOB
- Design data warehouses using Star Schema, Snowflake, and Data Vault.
- Build and maintain large, complex datasets based on functional and non-functional business requirements.
- Design and implement data pipelines for extracting, transforming, and loading data from various sources.
- Build and optimize data infrastructure using Google Cloud Platform (GCP).
- Develop tools and solutions for processing data on big data platforms.
- Analyze and translate business requirements into long-term data models and solutions.
- Develop conceptual and physical data models and data flows.
- Identify opportunities to automate manual processes and improve data delivery and infrastructure.
- Monitor, identify, and troubleshoot issues within data pipelines.
- Define and promote data engineering best practices to ensure consistency and maintainability.
- Evaluate existing data systems and recommend improvements.
- Work closely with Data Scientists, Developers, and business stakeholders to deliver effective data solutions.
- Support data strategies covering data structures, metadata, dependencies, and workload management.
- Bachelor's degree or higher in Computer Engineering, Computer Science, IT, or a related field.
- Minimum 5 years of experience.
- Strong experience working with Cloud Platforms, preferably Google Cloud Platform (GCP).
- Strong knowledge of database technologies.
- Experience with both relational and non-relational databases.
- Experience designing and working with data warehouses.
- Experience building and improving big data pipelines, architectures, and datasets.
- Experience with data modeling, including conceptual and physical data models.
- Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- Strong analytical and problem-solving skills.
- Good communication and collaboration skills with technical and business stakeholders.
At Amaris Consulting, we believe in creating a thriving, positive workplace where every team member can grow, connect, and make a real impact. Here's what you can expect when you join our dynamic community:
- Global Diversity: Be part of an international team of 110+ nationalities, celebrating diverse perspectives and collaboration.
- Trust and Growth: With 70% of our leaders starting at entry-level, we're committed to nurturing talent and empowering you to reach new heights.
- Continuous Learning: Unlock your full potential with our internal Academy and over 250 training modules designed for your professional growth.
- Vibrant Culture: Enjoy a workplace where energy, fun, and camaraderie come together through regular afterworks, team-building events, and more.
- Meaningful Impact: Join us in making a difference through our CSR initiatives, including the WeCare Together program, and be part of something bigger.
At Amaris Consulting, we believe that diversity and inclusion are essential to building a workplace where everyone can thrive. We are committed to creating an inclusive environment where all employees and candidates are treated with respect and have equal opportunities, regardless of their background, identity, or personal characteristics.
Who are we
Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:
Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective Learn about you, understand your motivations, and make sure we have the right job for you!
Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
We look forward to meeting you!
More Info
Key Skills
Big Data Platforms
Data Pipelines
Physical Data Models
Google Cloud Platform (GCP)
Non-relational Databases
