PySpark Developer

Location: Irving, TX
Salary: $120,000.00 USD Annually - $130,000.00 USD Annually
Description:
Job Description - PySpark Developer

Location: Irving, TX
Experience: 5-10 years

Overview

We are seeking an experienced PySpark Developer with a strong background in data engineering to design, build, and optimize scalable data pipelines. The ideal candidate will have deep expertise in Apache Spark, hands-on PySpark development, and experience working with large, complex datasets. You will collaborate closely with business analysts and stakeholders to deliver high-quality data solutions that support analytics and business intelligence.

Responsibilities

• Develop, optimize, and maintain data pipelines and ETL workflows using Apache Spark and PySpark.
• Apply advanced knowledge of Spark core concepts, performance tuning, and industry best practices.
• Translate business requirements into scalable and reliable data transformations.
• Work with analysts and stakeholders to understand data requirements and deliver innovative solutions.
• Write and maintain unit tests, follow OOP principles, and ensure high code quality.
• Develop complex SQL queries to extract insights from large-scale datasets.
• Schedule, orchestrate, and monitor data transformation jobs based on business needs.
• Perform root-cause analysis on pipeline failures, resolve data quality issues, and implement corrective fixes.
• Ensure data integrity, reliability, and availability across the data ecosystem.

Required Skills & Experience

• 5-10 years of hands-on experience in PySpark and Apache Spark development.
• Strong understanding of Spark RDDs, DataFrames, Spark SQL, and performance optimization.
• Expertise in Python with ability to implement complex data transformations.
• Solid SQL skills with experience handling large datasets.
• Knowledge of object-oriented programming, unit testing, and debugging.
• Experience with scheduling tools (Airflow, Cron, or similar).
• Strong analytical and troubleshooting skills for data pipeline issues.

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