Data Engineer
São Paulo, Brazil
Accruent
Accruent's software helps workplace & asset management organizations unify their built environments for better management of people, places, and resources.Accruent is the world’s leading provider of intelligent solutions for the built environment – spanning real estate, integrated technology systems, and the physical and digital assets they connect. Accruent continues to set new expectations for how organizations can use data to transform the way they manage their facilities and assets and is transforming the way people and systems work together. With major office locations in Austin, New Orleans, London and Amsterdam, Accruent serves more than 10,000 customers in a wide range of industries in more than 150 countries around the world.
Personal development and becoming the best you is all about growth and exploring new skills and opportunities – both in and out of the office. At Accruent, we call this Grow Without Limits, and we’re proud to offer each of our employees the resources, coaching and support necessary to achieve Growth Without Limits in their personal and professional lives. Explore where the path takes you.
Accruent is an Equal Opportunity, Affirmative Action employer. We believe diversity of perspectives and experiences guarantee a differentiated work environment, based on respect and valuing differences. All people whom apply for our opportunities are considered without distinction.
Data Engineer Developer who can independently propose solutions and solve problems based on business requirements. This role is responsible for setting Architecture for data warehouse used by the business. A Customer 360 view of data at Accruent is the ultimate goal.
Our environment includes Snowflake, Boomi, DBT, DataIku, Prefect, and other tools.
How You will Make a Difference:
- Stand up and/or mantain integrations from multiple tools to Snowflake. Example could be:
-
- SalesForce
- Nestsuite
- Absorb
- Service Now
- Gainsight
- Partner Portal
- Multiple Marketing sources such as Linked-In, Google, etc.
- Work with Business and existing functional prototypes to create production ready data pipelines in Snowflake.
- Transform Raw tables from sources to present as production data sources.
- Primary consumption is PowerBI.
- Process metrics and intermediate data transformations to support reporing needs in a manner that does not overload BI Tools.
- Data Quality and reliability:
- Work to ensure pipelines are stable and proper alerting is available when issues occur.
- Work with Analysts and the business to implement data quality measures and reports.
- Standup services to support monitoring and alerting to ensure services are running and available.
Preferred Skills/Experience:
- Bachelor’s degree in, Computer Science, Information Technology, or related field.
- Have experience in a data engineering.
- Effective communication and ability to present to executive leadership team. Comfortable with technical conversations and presenting information to non-technical users in English.
- Ability to work effectively in a diverse, collaborative environment.
- Ability to manage multiple priorities in a fast-paced, collaborative environment.
Benefits
- Competitive salary package
- Annual Bonus
- Meal Vouchers - Ticket Refeição
- Life Insurance
- Health and Dental Plan - extended to your partner and children without any discount.
- Mentorship and Leadership Program
Data Protection Policy
The data entered in the selection process form is confidential and stored in a secure environment. We take appropriate technical and administrative measures to protect your data.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Data pipelines Data quality Data warehouse dbt Engineering Pipelines Power BI Salesforce Snowflake
Perks/benefits: Career development Competitive pay Health care Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs