Data Engineer KPI Management and Reporting
Data Engineer KPI Management and Reporting
Posted on :
20-02-2025
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1 Vacancy
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Job Description
We are seeking a top candidate to join our team as Data Engineer KPI Management and Reporting.
Compensation:
COP 10M 13M/month.
Location:
Hybrid (El Poblado Medell n Antioquia Colombia).
Mission of Softgic:
In Softgic S.A.S. we work for the digital and cognitive transformation of our clients aware that quality is an essential factor for us we incorporate the following principles into our policy:
- Deliver quality products and services.
- Achieve the satisfaction of our internal and external clients.
- Encourage in our team the importance of training to grow professionally and personally through development plans.
- Comply with the applicable legal and regulatory requirements.
- Promote continuous improvement of the quality management system.
What makes you a strong candidate:
- You are proficient data engineering ETL (Extract transform load) Microsoft Azure and SQL.
- Spanish Native or fully fluent.
- English Native or fully fluent.
Responsibilities and more:
We seek a detailoriented and proactive Data Engineer to optimize the collection calculation and reporting of key business KPIs. In this role you will collaborate with department leaders to define strategic metrics automate data workflows and create actionable visualizations for executives and investors.
- Define and align KPIs with sales marketing operations and finance leaders.
- Ensure data accuracy and consistency across metrics.
- Develop and optimize automated data pipelines from databases APIs and external tools.
- Implement systems for automated KPI calculations and updates.
- Design dashboards and reports using data visualization tools to facilitate decisionmaking.
- Present clear datadriven reports with strategic insights to executives and investors.
- Identify opportunities to enhance data infrastructure and implement industry best practices.
Requirements
- Bachelor s degree in Engineering Computer Science Data Science or a related field.
- 3 years of experience in Data Engineering data analysis or a related role.
- Advanced SQL proficiency and experience with data visualization tools (Power BI Tableau Looker).
- Experience with ETL data warehousing and cloud platforms (AWS GCP Azure).
- Proficiency in Python or R for data manipulation and pipeline automation.
- Ability to integrate CRM financial tools and web analytics into cohesive reporting systems.
- Advanced Excel and strong communication skills for both technical and nontechnical audiences.
Benefits
- Were certified as a Great Place to Work.
- Opportunities for advancement and growth.
- Paid time off.
- Formal education and certifications support.
- Benefits with partner companies.
- Referral program.
- Flexible working hours.
Data analysis Data engineering ETL (Extract, transform, load) Microsoft Azure Python SQL
Employment Type
Full Time
Key Skills
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