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.

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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.

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* 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

Region: South America
Country: Brazil
Job stats:  2  0  0
Category: Engineering Jobs

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