Databricks Developer

hace 3 días

Ciudad de México, Ciudad de México Quadrant Technologies A tiempo completo

Job Description: Senior Databricks Developer / Data Engineer

Minimum 5+ Years Experience on Cloud Platforms (AWS, Azure)

Position Overview

We are seeking a highly skilled and experienced Databricks Developer / Data Engineer to join our team. The ideal candidate will have a minimum of 5 years of hands-on experience working with Databricks on leading cloud platforms such as AWS and Azure. You will be responsible for designing, building, and optimizing scalable data pipelines, collaborating with cross-functional teams, and driving data-driven decision making across the organization.

Key Responsibilities


• Design, develop, and maintain scalable data pipelines and ETL processes using Databricks on AWS and Azure.


• Optimize Spark jobs for performance, reliability, and cost-efficiency.


• Integrate Databricks workflows with cloud-native storage solutions (S3, ADLS).


• Implement data quality, validation, and governance best practices.


• Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver solutions.


• Troubleshoot and resolve issues in production data pipelines.


• Document technical solutions and create knowledge-sharing materials for the team.

Must Have Skills


• Databricks Platform Expertise: 5+ years of hands-on experience developing solutions on Databricks, including workspace management, notebook development, job scheduling, and cluster configuration.


• Cloud Platform Experience: Proven experience in deploying and managing Databricks environments on AWS and Azure.


• Apache Spark: Advanced knowledge of Spark (PySpark/Scala/SQL) for data processing and analytics.


• ETL & Data Pipeline Development: Expertise in building robust ETL processes and data pipelines.


• Programming Languages: Proficiency in Python and/or Scala.


• Cloud Storage Integration: Experience integrating with S3, ADLS, or similar cloud storage services.


• SQL Skills: Strong ability to write and optimize complex SQL queries.


• Data Modeling: Solid understanding of data modeling concepts and best practices.


• Version Control: Familiarity with Git or similar version control systems.


• Problem Solving: Excellent troubleshooting and analytical skills.

Good to Have Skills


• Experience with CI/CD pipelines and DevOps practices for data engineering.


• Knowledge of Delta Lake and advanced Databricks features (e.g., MLflow, Databricks SQL).


• Experience with other cloud platforms (Google Cloud Platform, etc.).


• Exposure to data visualization tools (Power BI, Tableau, etc.).


• Understanding of data security, compliance, and privacy standards.


• Hands-on experience with streaming data (Kafka, Spark Streaming).


• Familiarity with REST APIs and data integration patterns.


• Ability to mentor junior team members and conduct code reviews.


• Experience with infrastructure as code (Terraform, CloudFormation).

Qualifications


• Bachelor's or Master's degree in Computer Science, Engineering, or related field.


• Minimum 5 years of experience in Databricks development on AWS and/or Azure.


• Strong communication skills and ability to work in a collaborative environment.


• Relevant certifications (Databricks, AWS, Azure) are a plus.

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