Data Engineer designing and optimizing data pipelines using Databricks and Google Cloud Platform. Collaborating with analysts and scientists to deliver high - quality data products.
About the role
- Data Engineer specializing in data solutions for a fintech. Involves developing data strategies and ensuring data quality for informed decision-making and client satisfaction.
Responsibilities
- Study and understand strategies for developing data solutions, metrics and tools to boost customer satisfaction and process efficiency, building technical solutions to acquire, process and store data from multiple sources.
- Act as a Subject Matter Expert in specific knowledge domains and in particular tools/techniques.
- Detect data quality issues by identifying problems in data, pipelines and models.
- Define and build controls, metrics and monitoring for managing digital products.
- Prepare data for prescriptive and predictive modeling.
- Identify and correct subtle errors in data and analyses.
- Ensure results are reproducible, accurate and actionable.
- Analyze and organize raw data, perform complex data analyses, and report findings.
- Support the use of best-in-class BI and Advanced Analytics tools.
- Help advance the organization’s Analytics maturity level.
- Promote best practices in data and Analytics to build a data-driven environment.
- Write basic queries.
- Perform deployments.
- Run queries and extract information from databases (GCP/BigQuery).
- Support the stable operation of the environment and its routines.
- Create segmentations, data analyses, generate insights, and calculate metrics and KPIs to meet business area demands.
- Support the Data team in planning and measuring the main metrics aligned with business objectives.
- Collaborate with Developers to propose more complete and effective solutions for dashboards and reports to be developed.
- Write whitepapers, research notes and clear, coherent documentation.
- Document processes, models, routines and best practices clearly, following standards and ensuring accessibility, traceability, reproducibility and understanding by other teams or new team members.
- Troubleshoot issues and keep management informed, working closely with Developers to accelerate development and quality assurance.
- Support your immediate supervisor on matters related to your area of expertise, presenting and discussing issues and irregularities to help define procedures and actions to be taken.
- Ensure compliance with procedures and standards applicable to the area’s needs, identifying opportunities for improvement through analysis and review.
- Analyze processes related to your area of responsibility, proposing and suggesting improvements to maximize results.
- Keep up to date with technological advances related to your field to promote professional development, knowledge transfer, and suggestions for improvements to equipment and processes, contributing to continuous improvement.
- Perform other related activities as directed by your immediate supervisor.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Computer Science or Engineering.
- Minimum of 5 years’ experience managing, optimizing and monitoring the ingestion, storage and distribution of raw data.
- Proficiency in Python.
- Experience with Apache Airflow.
- Proficiency in SQL.
- Experience with cloud computing for data engineering (GCP).
- Experience using Git and model/version control.
- Advanced English is preferred.
- Machine Learning coursework or training is desirable.
Benefits
- Health and Dental insurance
- Meal Allowance and/or Grocery Allowance
- Wellhub (formerly Gympass)
- Profit-sharing (PLR) tied to goals and results
- Life insurance
- Nav (online medical and psychological consultations at no cost)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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