Senior Data Engineering Specialist
4 days ago
Tredence Inc. Seeks Databricks Architect
About the Role
We are seeking a highly skilled Databricks Architect to design, implement, and optimize data solutions on the Databricks platform. The ideal candidate will have deep expertise in cloud-based data engineering, big data processing, and analytics, and a strong understanding of data architecture principles.
Key Responsibilities
- Design and develop end-to-end data architecture solutions on the Databricks platform.
- Collaborate with stakeholders to understand business needs and translate them into technical requirements.
- Lead the implementation of data pipelines and workflows using Databricks and other data engineering tools.
- Optimize performance of Databricks notebooks, clusters, and jobs for efficiency and cost-effectiveness.
- Integrate Databricks with cloud platforms (e.g., AWS, Azure, Google Cloud) and third-party tools.
- Implement best practices for data governance, security, and compliance.
- Drive the adoption of advanced analytics, machine learning, and AI use cases using Databricks.
- Provide technical leadership, mentoring, and guidance to team members.
- Monitor and troubleshoot data pipelines, ensuring high availability and reliability.
- Keep up with the latest Databricks features and updates to recommend improvements.
Requirements
- Bachelor's or master's degree in computer science, data engineering, or a related field.
- 10+ years of experience in big data engineering, architecture, or a related field.
- Strong expertise in Databricks, Spark, and big data technologies.
- Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud).
- Proficiency in programming languages such as Python, Scala, or Java.
- Solid understanding of data modeling, ETL processes, and data warehousing.
- Experience with CI/CD pipelines and DevOps practices for data engineering.
- Knowledge of data governance, privacy, and security principles.
- Excellent problem-solving, communication, and teamwork skills.
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