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

> GSSTech Group · Bengaluru, India · — · Posted 2026-01-05

**Workplace:** on_site

**Department:** Agile Chapter; Data

## Description

**Job Title: Data Engineer (PySpark)**

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**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.

## Apply

[Apply at GSSTech Group](https://apply.workable.com/gsstech-group/j/E73DE96B49/apply)

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