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Databricks Technical Lead
4 months ago
Certification: Databricks certified Data Engineer Professional, SQL, Azure data Engineer, Python
Primary Skillset:
- Apache Spark: Strong understanding and hands-on experience with Apache Spark, including Spark SQL, Spark Streaming.
- Databricks: Proficiency in using Azure Databricks, including setting up and managing clusters, notebooks, and jobs.
- Python and SQL: Strong programming skills in either Python and SQL as these are the primary languages used for writing Spark applications.
- Data Processing and Analysis: Experience in designing and implementing data processing and analysis pipelines using Spark and Databricks.
- Distributed Computing: Knowledge of distributed computing concepts and experience with distributed computing frameworks like Spark.
- Cloud Platform: Familiarity with Azure cloud platform and its services, including Azure Data Factory, Azure access, Azure Storage, Azure Data Lake, and Azure SQL Database.
- Data Engineering: Understanding of data engineering concepts and experience with ETL processes, data modeling, and data warehousing.
- DevOps: Experience with CI/CD pipelines, version control systems (e.g., Git), and automated deployment of Spark applications.
- Performance Optimization: Ability to optimize Spark applications for performance and scalability, including tuning Spark configurations and leveraging Spark optimizations.
- Data Security and Governance: Understanding of data security and governance practices, including data encryption, access controls, and compliance regulations.
- Monitoring and Troubleshooting: Proficiency in monitoring and troubleshooting Spark applications, identifying and resolving performance bottlenecks or issues.
- Collaboration and Communication: Excellent communication skills and the ability to collaborate effectively with cross-functional teams, including data scientists, data engineers, and business stakeholders.
Secondary Skillset:
- Machine Learning: Familiarity with machine learning concepts and experience with implementing machine learning algorithms using Spark MLlib or other machine learning frameworks.
- Data Visualization: Kn owledge of data visualization tools and libraries like Matplotlib, Plotly, Power BI or Tableau for presenting insights derived from data analysis.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
