Data Analytics and Operations Engineer

1 мес. назад

LATAMWorldwideSenior

data engineeringetldata warehousedimensional modelingbusiness intelligenceanalytics

Responsible for monitoring and supporting ELT pipelines, data warehouse modeling, and analytics infrastructure to support business intelligence and automation initiatives.

О компании

AssureSoft is a multinational software development and information technology company providing strategic consulting, technology services, and outsourcing business processes. We work to innovate and create quality software with motivated, passionate, and qualified teams that develop in an environment of professional, stable growth and continuous learning.
Inclusive Opportunities for Every Talent. At AssureSoft, we believe that true innovation is born from diversity—of ideas, experiences, and perspectives. That’s why our hiring practices are inclusive and reflect a firm commitment to equity and equal opportunity. Here, every person—regardless of origin, gender, orientation, or beliefs—finds a space to grow, contribute, and be valued not only for their talent, but also for who they are.

Обязанности

Monitor and support daily ELT pipelines and reporting processes.
Design, document, and maintain data warehouse models as source systems evolve. 
Develop and maintain semantic-layer and business intelligence data models. 
Support month-end reporting and recurring business processes. 
Improve and prepare data assets for AI-enabled workflows and automation initiatives. 
Design data transformations that enhance data quality, consistency, accessibility, and usability. 
Troubleshoot data issues and support analytics requests across the organization. 
Serve as the primary technical resource for analytics infrastructure and reporting systems. 
Prepare internal metrics, analytics, and leadership reporting. 
Collaborate with stakeholders on data-driven initiatives and continuous improvements.

Требования

4+ years of experience in analytics engineering, data engineering, business intelligence, analytics, or related fields.
 Strong understanding of data warehousing, dimensional modeling, and semantic-layer concepts. 
 Experience building and maintaining ELT/ETL pipelines. 
 Strong SQL and data modeling skills. 
 Experience working with software engineering workflows and source control. 
 Strong communication, documentation, and stakeholder management skills. 
 Hands-on experience with dbt, Amazon Redshift, Amazon QuickSight, AWS, Python, GitHub, Docker, and SQL. 
Advanced English.
 Experience with CI/CD workflows. 
 Knowledge of data governance practices and experience in healthcare, finance, or other regulated industries.
 
 
 
#LI-REMOTE

Другое

The key to our success is simple; we deliver the highest quality, on time, with passion and commitment, and live every day by a set of great values. We've built a company that fosters long-term careers in an environment of continuous learning, with cutting-edge benefits, tools, and resources. In addition, certifications that endorse our company as a great place to work.
 
Great Place To Work certification.
A company with more than 15 years of experience.
Work with world-class clients and long-term projects.
English scholarships for an external institute.
English classes with company teachers.
State-of-the-art tools and resources.
Certifications for your professional growth.
Recreation and leisure activities.
Compliance with the regulations and labor rights of your region.
Retention of your personal information: AssureSoft will retain your personal information for as long as necessary to fulfill the purposes for which it was collected or as necessary to comply with our legal obligations, resolve disputes, and maintain appropriate business records. Once the purpose has been fulfilled, your personal information will be retained and blocked due to the possibility of legal and governmental requirements, and until the status of limitations has run out.
Important Notice Regarding Personal Information:  If you do not want your personal and professional information to be retained in our database, please send your request for data removal to  info@.