Senior Analyst - Databricks Data Engineer
Evalueserve4 days ago
Viña del Mar, ChileSenior
Responsibilities
- Design, develop, and automate scalable ETL/ELT pipelines for data warehouses, data lakes, and lakehouse environments.
- Modernize data integration processes and build cloud-native pipelines using Databricks, Delta Lake, Azure Data Factory, or similar technologies.
- Translate business and technical needs into data products, platforms, architectures, and engineering solutions.
- Develop reusable data models and scalable architectures for enterprise applications, BI, advanced analytics, and AI/ML use cases.
- Deliver trusted, analytics-ready datasets and enhance reporting environments with BI and analytics teams.
- Implement data quality, automated testing, documentation, metadata, lineage, security, and governance practices.
- Establish source control, CI/CD, and Test-Driven Development practices with DevOps teams.
- Optimize platform performance, scalability, reliability, operational efficiency, and cloud costs.
- Collaborate with business, technical, BI, analytics, and DevOps stakeholders.
Requirements
- Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related discipline.
- At least 4 years of relevant data engineering experience with Azure Databricks, PySpark, SQL, Delta Lake, and Unity Catalog or similar technologies.
- Strong experience building scalable ETL/ELT pipelines, data models, data warehouses, data lakes, and lakehouse solutions.
- Advanced Python and SQL skills, including distributed data processing, performance optimization, and data quality frameworks.
- Experience with GitHub-based source control, CI/CD, automated testing, and Test-Driven Development using Azure DevOps, GitHub Actions, or equivalent tools.
- Understanding of modern data architecture, metadata, documentation, lineage, security, and governance practices.
- Experience using AI-assisted development tools such as Cursor, Claude, or GitHub Copilot.
- Strong problem-solving, communication, and stakeholder management skills.
Benefits
- Hybrid working model with flexibility and international exposure.
- Merit-based, innovation-driven culture with opportunities for creativity, continuous learning, and professional growth.
- Inclusive workplace committed to reasonable accommodations under Chilean Law No. 21.015.
- Employment, education, and background verification are conducted as part of the hiring process; legitimate opportunities are listed on the company’s jobs website.
Tech Stack
Categories
Data Engineering