Data Engineer

HireAlpha; Dubai; On-site; AED 320,000 - 520,000; Full time

Job summary

HireAlpha is seeking an experienced Data Engineer (PySpark) to design and maintain scalable ETL pipelines on the Cloudera Data Platform in Dubai. You will transform raw data into trusted datasets for analytics, dashboards, and data science.

You will optimize PySpark jobs, ensure data quality, and collaborate with analysts and product teams to deliver reliable data assets. Strong scripting, Linux, and orchestration experience with Oozie or Airflow are required.

Qualifications

• 5+ years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform.
• Design, develop, and maintain scalable ETL pipelines using PySpark on CDP.
• Implement data ingestion from multiple sources to data lake or data warehouse on CDP.
• Ensure data quality, validation, and monitoring throughout pipelines.
• Automate data workflows with Oozie, Airflow, or similar tools.
• Collaborate with data teams and document processes.

Responsibilities

• 5+ years in data engineering with PySpark and CDP.
• Design, build and maintain scalable ETL pipelines.
• Ingest data from various sources to data lake/warehouse on CDP.
• Optimize PySpark performance and resource usage.
• Implement data quality checks and monitoring.
• Automate workflows with Oozie or Airflow.
• Monitor pipelines and troubleshoot issues.
• Document data processes and pipelines.
• Collaborate with stakeholders across teams.

Skills

PySpark

ETL development

Data pipelines

Linux scripting

Collaboration

Tools

Cloudera Data Platform

Hive

Impala

HDFS

Oozie

Airflow

Kafka

Job description

Job Title: Data Engineer (PySpark)

Location: Dubai

Responsibilities

• 5+ years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform.
• 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.
• 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.
• 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.

Technical Skills

• PySpark: 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 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.