Data Engineer (PySpark) - Leading UAE Bank, Cloudera Data Platform Expert

2 months ago Be among the first 25 applicants Job Title: Data Engineer (Py Spark)________________________________________Job Title: Data Engineer (Py Spark)________________________________________About The Role We are seeking a highly skilled Data Engineer with deep expertise in Py Spark 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, cloud-native tools, and advanced data processing techniques.The ideal candidate has hands-on 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.Responsibilities Data Pipeline Development: Design, develop, and maintain highly scalable and optimized ETL pipelines using Py Spark 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 CDPData Transformation and Processing: Use Py Spark to process, cleanse, and transform large datasets into meaningful formats that support analytical needs and business requirements Performance Optimization: Conduct performance tuning of Py Spark 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 Monitoring and Maintenance: Monitor pipeline performance, troubleshoot issues, and perform routine maintenance on the Cloudera Data Platform and associated data processes Collaboration: Work closely with other data engineers, analysts, product managers, and other stakeholders to understand data requirements and support various data-driven initiatives Documentation: Maintain thorough documentation of data engineering processes, code, and pipeline configurations Qualifications Education and Experience Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field3+ years of experience as a Data Engineer, with a strong focus on Py Spark and the Cloudera Data Platform Technical Skills Py Spark: Advanced proficiency in Py Spark, including working with RDDs, Data Frames, 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 SQL-based 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 Soft Skills Strong analytical and problem-solving skills Excellent verbal and written communication abilities Ability to work independently and collaboratively in a team environment Attention to detail and commitment to data quality Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Global Software Solutions Group by 2x Sign in to set job alerts for “Data Engineer” roles.We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr