Pyspark/Python Data Engineer

Do you have experience in Technical architecture?, Do you have a Bachelor’s degree?, Must Have Technical/Functional Skills We are looking for a skilled PySpark Data Engineer with strong hands-on experience in PySpark and Python to design, build, and optimize scalable data processing pipelines. The ideal candidate will have practical experience working with distributed data processing and a solid foundation in writing efficient, production-grade Python code Required Technical Skills

• Strong hands-on experience in PySpark (Spark SQL, DataFrame API)

• Advanced proficiency in Python (data processing, performance tuning, modular coding)

• Solid understanding of ETL design patterns and data pipeline architecture

• Good working knowledge of SQL for data transformation and analysis

• Experience with data processing in distributed environments

Preferred Skills (Good to Have)

• Experience with cloud platforms (AWS preferred - S3, Glue, EMR or equivalent services)

• Familiarity with workflow orchestration tools such as Airflow or similar schedulers

• Exposure to data warehousing concepts (e.g., Snowflake or similar platforms)

• Knowledge of code versioning (Git) and CI/CD practices

Experience

• 3-8 years of experience in Data Engineering / PySpark development

• Proven hands-on project experience in PySpark + Python

Roles & Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using PySpark

• Write optimized and scalable PySpark transformations using DataFrames and Spark SQL

• Develop reusable and efficient Python-based data processing components

• Ensure data quality, integrity, and performance across pipelines

• Perform debugging, performance tuning, and optimization of PySpark jobs, Qualifications : BACHELOR OF COMPUTER SCIENCE

(part of Tata group) 3.93.9 out of 5 stars Irving, TX $100,000 - $120,000 a year