| Databrick Developer with Pyspark,Java || Please share local to Columbus,OH /Plano,TX / Wilmington,DE only ||Please share H1B with passport number at Columbus, Ohio, USA |
| Email: [email protected] |
| Databrick Developer with Pyspark,Java Columbus,OH /Plano,TX / Wilmington,DE Apache Spark: They should have a strong grasp of Apache Spark, including its architecture, RDDs (Resilient Distributed Datasets), DataFrames, Spark SQL, Spark Streaming, and MLlib (Machine Learning Library). PySpark: Proficiency in PySpark, which is the Python API for Apache Spark, is essential. This includes understanding how to manipulate data using PySpark DataFrames, perform transformations and actions, and integrate PySpark with other Python libraries and tools. Java: Since PySpark is built on top of Spark's Java API, a Data Brick developer should also have a good understanding of Java, particularly as it relates to Spark programming. Knowledge of Java can be beneficial for understanding lower-level Spark concepts, optimizing performance, and troubleshooting issues. Data Manipulation: They should be adept at data manipulation tasks such as filtering, grouping, joining, and aggregating data using PySpark's APIs. Data Processing: Experience in processing large-scale datasets efficiently using PySpark, including handling data skewness, partitioning, and optimization techniques. Machine Learning: Familiarity with MLlib for implementing machine learning algorithms in Spark, including classification, regression, clustering, and collaborative filtering. Performance Optimization: Ability to optimize PySpark jobs for performance by tuning configurations, leveraging caching and persistence, and minimizing data shuffling. Integration: Experience in integrating PySpark with other big data technologies and frameworks such as Hadoop, Hive, Kafka, and HDFS. Streaming Data: Understanding of real-time data processing using Spark Streaming or Structured Streaming for handling continuous data streams. Development Best Practices: Knowledge of software engineering best practices such as version control, testing, code reviews, and documentation. Problem-Solving Skills: Strong problem-solving skills to troubleshoot issues, debug code, and optimize performance. Communication: Effective communication skills to collaborate with other team members, understand requirements, and present findings or solutions. -- Keywords: information technology Delaware Ohio Texas Databrick Developer with Pyspark,Java || Please share local to Columbus,OH /Plano,TX / Wilmington,DE only ||Please share H1B with passport number [email protected] |
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| Fri May 17 02:51:00 UTC 2024 |