Pyspark - Data Architect

Virtusa; Dubai; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading technology firm in Dubai is seeking a Data Engineer to design and maintain scalable ETL pipelines using PySpark on the Cloudera Data Platform. The ideal candidate will have a strong background in data ingestion and transformation, along with experience in managing and optimizing performance. This role requires advanced skills in PySpark and familiarity with the Cloudera ecosystem. Competitive compensation and opportunities for growth are available.

Qualifications

• 3 years of experience as a Data Engineer with a strong focus on PySpark and Cloudera.
• Advanced proficiency in PySpark including working with RDDs and DataFrames.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, develop and maintain highly scalable ETL pipelines using PySpark.
• Implement and manage data ingestion processes from various sources.
• Conduct performance tuning of PySpark code and Cloudera components.

Skills

PySpark

Cloudera Data Platform

Data Warehousing

Apache Oozie

SQL-based tools

Hadoop

Kafka

Scripting skills

Education

Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems

Tools

Cloudera Manager

Hive

Impala

HDFS

Job description

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Pyspark JD:ResponsibilitiesData Pipeline Development: Design develop and maintain highly scalable and optimized ETL pipelines using PySpark on the Cloudera Data Platform ensuring data integrity and Ingestion: Implement and manage data ingestion processes from a variety of sources (relational databases APIs file systems) to the data lake or data warehouse on Transformation and Processing: Use PySpark to process cleanse and transform large datasets into meaningful formats that support analytical needs and business Optimization: Conduct performance tuning of PySpark code and Cloudera components optimizing resource utilization and reducing runtime of ETL Quality and Validation: Implement data quality checks monitoring and validation routines to ensure data accuracy and reliability throughout the and Orchestration: Automate data workflows using tools like Apache Oozie Airflow or similar orchestration tools within the Cloudera and Maintenance: Monitor pipeline performance troubleshoot issues and perform routine maintenance on the Cloudera Data Platform and associated data : Work closely with other data engineers analysts product managers and other stakeholders to understand data requirements and support various datadriven : Maintain thorough documentation of data engineering processes code and pipeline 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 SkillsPySpark: Advanced proficiency in PySpark including working with RDDs DataFrames and optimization Data Platform: Strong experience with Cloudera Data Platform (CDP) components including Cloudera Manager Hive Impala HDFS and Warehousing: Knowledge of data warehousing concepts ETL best practices and experience with SQLbased tools (Hive Impala).Big Data Technologies: Familiarity with Hadoop Kafka and other distributed computing and Scheduling: Experience with Apache Oozie Airflow or similar orchestration and Automation: Strong scripting skills in SkillsStrong analytical and problemsolving verbal and written communication to work independently and collaboratively in a team to detail and commitment to data quality.

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