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PySpark Data Engineer

Job

K&K Global Talent Solutions Inc.

Fort Worth, TX (In Person)

Full-Time

Posted 6 days ago (Updated 2 days ago) • Actively hiring

Expires 7/18/2026

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Job Description

PySpark Data Engineer at K&K Global Talent Solutions Inc. PySpark Data Engineer at K&K Global Talent Solutions Inc. in Fort Worth, Texas Posted in 1 day ago.
Type:
full-time
Job Description:
K&K Global Talent Solutions Inc. is an international recruiting agency that has been providing technical resources in the Canada and the USA region since 1993. This position is with one of our clients in USA, who is actively hiring candidates to expand their teams. Role
  • Senior PySpark Data Engineer Location
  • Irving, TX (onsite) Fulltime Note
  • Must be ready to attend in-person interview at Client location (Irving, TX).
Job Description Roles & Responsibilities Job Title:
Senior PySpark Data Engineer Job Description:
As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing in Big Data environment using predominantly PySpark/Python. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using PySpark.
Roles & Responsibilities:
  • Design, develop, and maintain robust, scalable high-performance Data Pipelines using PySpark.
  • Create data pipelines, ensuring data quality, and implement ETL processes to migrate and deploy data across systems.
  • Migrate Ab Initio ETL Applications into Pyspark based data pipelines
  • Migrate On Prem workloads into Cloud(AWS, Databricks, Snowflake) based on use cases.
  • Collaborate with cross-functional teams to identify and resolve data-related issues.
  • Stay updated with the latest advancements in data engineering and integrate innovative approaches for sustained competitive advantage.
Qualifications:
  • 8+ years of professional experience in Hadoop, PySpark/Python development.
  • Proven expertise in PySpark and experience in handling huge volume of data
  • 3+ working experience in AWS, Databricks/Snowflake, Airflow
  • Familiarity with CI/CD pipelines and version control systems (e.g., Git).
  • Strong debugging and problem-solving skills.
  • Excellent communication and collaboration skills.
Good to
Have Skills:
  • AWS EKS Experience, Dockers and Containers