This position offers you the opportunity to join a fast-growing technology organization that is redefining productivity paradigms in the software engineering industry. If you are passionate about technology and want to learn about new trends that are shaping human behavior, this opportunity is for you.
The impact you'll make:
• Design, develop, and optimize data pipelines using Databricks and Apache Spark
• Build scalable ETL/ELT processes to ingest, transform, and deliver data from various banking systems
• Implement data lakehouse architecture using Delta Lake for reliable data storage and processing
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements
• Optimize Databricks cluster configurations and query performance for cost efficiency
• Develop and maintain data quality frameworks and monitoring solutions
• Implement security best practices and ensure compliance with banking regulations (PCI-DSS, SOX, GDPR)
• Create and maintain technical documentation for data workflows and processes
• Mentor junior engineers and promote best practices in data engineering
• Participate in code reviews and contribute to continuous improvement initiatives
Preferred Skills:
• Databricks certification (Data Engineer Associate or Professional)
• Experience with real-time streaming data processing (Kafka, Event Hubs)
• Knowledge of MLOps and ML model deployment on Databricks
• Experience with Infrastructure as Code (Terraform, CloudFormation)
• Familiarity with CI/CD pipelines and DevOps practices
• Experience with data governance tools and frameworks
• Knowledge of Python libraries for data processing (Pandas, NumPy)
• Understanding of banking products, risk management, or fraud detection systems
Required Qualifications
• 5+ years of experience in data engineering or related roles
• 3+ years of hands-on experience with Databricks platform
• Strong proficiency in Apache Spark (PySpark/Scala)
• Expert-level
📌 Senior Data Engineer (Colombia)
🏢 Parser
📍 Colombia
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