Data Engineer

GSSTech Group

Dubai, UAE

Ref: PP000-43584

Job description / Role

Job Type
Full Time

Job Location
Dubai, UAE

Nationality
Any Nationality

Salary
Not Specified

Gender
Not Specified

Arabic Fluency
Not Specified

Job Function
IT - Software & Web Development

Company Industry
IT, Software & Internet Services

About the role

We 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, 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 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.

Qualifications

Education and experience

Bachelor’s or master’s 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 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.

Attention to detail and commitment to data quality.

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