Pyspark - Data Architect

2 weeks ago


Dubai, Dubai, United Arab Emirates Virtusa Full time

Role: Associate Architect

Key Skill: Pyspark, big data – Hadoop, hive, impala, kafka

Description:

Responsibilities
  1. Data Pipeline Development: Design, develop, and maintain highly scalable and optimized ETL pipelines using PySpark on the Cloudera Data Platform, ensuring data integrity and accuracy.
  2. 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.
  3. Data Transformation and Processing: Use PySpark to process, cleanse, and transform large datasets into meaningful formats that support analytical needs and business requirements.
  4. Performance Optimization: Conduct performance tuning of PySpark code and Cloudera components, optimizing resource utilization and reducing runtime of ETL processes.
  5. Data Quality and Validation: Implement data quality checks, monitoring, and validation routines to ensure data accuracy and reliability throughout the pipeline.
  6. Automation and Orchestration: Automate data workflows using tools like Apache Oozie, Airflow, or similar orchestration tools within the Cloudera ecosystem.
  7. Monitoring and Maintenance: Monitor pipeline performance, troubleshoot issues, and perform routine maintenance on the Cloudera Data Platform and associated data processes.
  8. Collaboration: Work closely with other data engineers, analysts, product managers, and other stakeholders to understand data requirements and support various data-driven initiatives.
  9. Documentation: Maintain thorough documentation of data engineering processes, code, and pipeline configurations.
Qualifications Education and Experience
  1. Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  2. 3+ years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform.
Technical Skills
  1. PySpark: Advanced proficiency in PySpark, including working with RDDs, DataFrames, and optimization techniques.
  2. Cloudera Data Platform: Strong experience with Cloudera Data Platform (CDP) components, including Cloudera Manager, Hive, Impala, HDFS, and HBase.
  3. Data Warehousing: Knowledge of data warehousing concepts, ETL best practices, and experience with SQL-based tools (e.g., Hive, Impala).
  4. Big Data Technologies: Familiarity with Hadoop, Kafka, and other distributed computing tools.
  5. Orchestration and Scheduling: Experience with Apache Oozie, Airflow, or similar orchestration frameworks.
  6. Scripting and Automation: Strong scripting skills in Linux.
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