Amazon Quicksight Specialist/Senior Data Engineer
At Transporeon - A Trimble Company - we embrace transformation and change in sync with one another. We rethink, reinvent and rework ideas from one moment to the next as many times as is necessary to get the job done right. Thats how we respond to the new challenges that we face each and every day. And regardless of whether you are just starting your career or are already a pro we believe you... can be the transformation. Are you ready?
You can find more information about Transporeon as an employer here >>
Your transformation challenge
AUTONOMOUS PROCUREMENT, as an insight Data Engineer, specialist in AWS QuickSight, you will join your product team to further develop our application which automates the assignment of needed transport to specific logistic partners.
You will handle the development and maintenance of an advanced middle layer and data pipeline, specifically optimized for analytics and business intelligence (BI) in our AWS RDS-hosted PostgreSQL database environment.
You will assume full ownership of our BI environment, implement and uphold data governance and quality standards to maintain data integrity and security.
You will build and manage a database schema to align with analytics and BI requirements.
With a strong focus on automation, your primary task will be to facilitate efficient usage of Amazon QuickSight for analytics and BI.
You will collaborate with solution consultants & product management to design and implement Amazon QuickSight analysis and dashboards that offer actionable Insights.
You are ready, if you have
Significant experience in data engineering, particularly with Amazon QuickSight for analytics and BI solutions.
Expertise in managing and optimizing PostgreSQL databases, especially within an AWS RDS context.
Experience working with large data sets.
Focus on automation by writing software in Python.
Exceptional quantitative, analytical, and problem-solving skills.
Proficiency in building data pipelines and schemas specifically for BI and
analytics.
Proven ability to cooperate with cross-functional teams to deliver data-driven
solutions.
Knowledge of data governance, security practices, and compliance standards.
Our Inclusiveness Commitment
We believe in celebrating our differences. That is why our diversity is our strength. To us, that means actively participating in opportunities to be inclusive. Diversity, Equity, and Inclusion have guided our current success while also moving our desire to improve. We actively seek to add members to our community who represent our customers and the places we live and work.
We have programs in place to make sure our people are seen, heard, and welcomed and most importantly that they know they belong, no matter who they are or where they are coming from
Apply Now
You can find more information about Transporeon as an employer here >>
Your transformation challenge
AUTONOMOUS PROCUREMENT, as an insight Data Engineer, specialist in AWS QuickSight, you will join your product team to further develop our application which automates the assignment of needed transport to specific logistic partners.
You will handle the development and maintenance of an advanced middle layer and data pipeline, specifically optimized for analytics and business intelligence (BI) in our AWS RDS-hosted PostgreSQL database environment.
You will assume full ownership of our BI environment, implement and uphold data governance and quality standards to maintain data integrity and security.
You will build and manage a database schema to align with analytics and BI requirements.
With a strong focus on automation, your primary task will be to facilitate efficient usage of Amazon QuickSight for analytics and BI.
You will collaborate with solution consultants & product management to design and implement Amazon QuickSight analysis and dashboards that offer actionable Insights.
You are ready, if you have
Significant experience in data engineering, particularly with Amazon QuickSight for analytics and BI solutions.
Expertise in managing and optimizing PostgreSQL databases, especially within an AWS RDS context.
Experience working with large data sets.
Focus on automation by writing software in Python.
Exceptional quantitative, analytical, and problem-solving skills.
Proficiency in building data pipelines and schemas specifically for BI and
analytics.
Proven ability to cooperate with cross-functional teams to deliver data-driven
solutions.
Knowledge of data governance, security practices, and compliance standards.
Our Inclusiveness Commitment
We believe in celebrating our differences. That is why our diversity is our strength. To us, that means actively participating in opportunities to be inclusive. Diversity, Equity, and Inclusion have guided our current success while also moving our desire to improve. We actively seek to add members to our community who represent our customers and the places we live and work.
We have programs in place to make sure our people are seen, heard, and welcomed and most importantly that they know they belong, no matter who they are or where they are coming from
Apply Now