Data Engineer - Pyspark
نُشرت في :
16-03-2025
صاحب العمل نشط
1 وظيفة شاغرة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيValid email field required
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حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيValid email field required
أرسل الوظائف
الوصف الوظيفي
About the RoleWe are seeking a highly skilled Data Engineer with deep expertise in PySpark and the Cloudera Data Platform (CDP) to join our data engineering team. As a Data Engineer you will be responsible for designing developing and maintaining scalable data pipelines that ensure high data quality and availability across the organization. This role requires a strong background in big data ecosystems cloudnative tools and advanced data processing techniques.The ideal candidate has handson experience with data ingestion transformation and optimization on the Cloudera Data Platform along with a proven track record of implementing data engineering best practices. You will work closely with other data engineers to build solutions that drive impactful business insights.ResponsibilitiesData Pipeline Development: Design develop and maintain highly scalable and optimized ETL pipelines using PySpark on the Cloudera Data Platform ensuring data integrity and accuracy.Data Ingestion: Implement and manage data ingestion processes from a variety of sources (e.g. relational databases APIs file systems) to the data lake or data warehouse on CDP.Data Transformation and Processing: Use PySpark to process cleanse and transform large datasets into meaningful formats that support analytical needs and business requirements.Performance Optimization: Conduct performance tuning of PySpark code and Cloudera components optimizing resource utilization and reducing runtime of ETL processes.Data Quality and Validation: Implement data quality checks monitoring and validation routines to ensure data accuracy and reliability throughout the pipeline.Automation and Orchestration: Automate data workflows using tools like Apache Oozie Airflow or similar orchestration tools within the Cloudera ecosystem.Education and ExperienceBachelors or Masters degree in Computer Science Data Engineering Information Systems or a related field.3 years of experience as a Data Engineer with a strong focus on PySpark and the Cloudera Data Platform.Technical SkillsPySpark: Advanced proficiency in PySpark including working with RDDs DataFrames and optimization techniques.Cloudera Data Platform: Strong experience with Cloudera Data Platform (CDP) components including Cloudera Manager Hive Impala HDFS and HBase.Data Warehousing: Knowledge of data warehousing concepts ETL best practices and experience with SQLbased tools (e.g. Hive Impala).Big Data Technologies: Familiarity with Hadoop Kafka and other distributed computing tools.Orchestration and Scheduling: Experience with Apache Oozie Airflow or similar orchestration frameworks.Scripting and Automation: Strong scripting skills in Linux.
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