Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Plano, TX, United States
Posted
3 days ago
Job Description
Python AWS Spark Engineer
Location: Plano, TX
Duration: Long-Term
Job Summary
Seeking an experienced Python AWS Spark Engineer to join the team in Plano, TX. The ideal candidate will have strong hands-on experience with Python, Apache Spark/PySpark, AWS cloud services, and data engineering. This role will focus on developing scalable data processing solutions, building cloud-based data pipelines, and supporting enterprise data platforms.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Python and Apache Spark/PySpark.
- Develop high-performance ETL/ELT workflows for large-volume datasets.
- Build and deploy data processing solutions on AWS.
- Work with AWS services such as S3, Glue, EMR, Lambda, Redshift, and CloudWatch.
- Develop and optimize Spark jobs for performance, scalability, and reliability.
- Perform data transformation, cleansing, validation, and integration across multiple data sources.
- Write efficient Python and SQL code for data processing and analytics.
- Troubleshoot production issues and perform root-cause analysis.
- Implement data quality, monitoring, logging, and error-handling mechanisms.
- Collaborate with data engineers, architects, application teams, and business stakeholders.
- Participate in code reviews, unit testing, deployment, and production support.
- Follow enterprise security, compliance, and development standards within the banking environment.
Required Skills
- 7+ years of experience in software/data engineering.
- Strong hands-on experience with Python.
- Strong experience with Apache Spark / PySpark.
- Strong experience with AWS cloud services.
- Hands-on experience with AWS S3, Glue, EMR, Lambda, and/or Redshift.
- Strong SQL skills and experience working with relational databases.
- Experience developing large-scale ETL/ELT data pipelines.
- Experience with data transformation and processing of large datasets.
- Strong understanding of distributed computing and Spark architecture.
- Experience with Git and CI/CD practices.
- Excellent problem-solving and communication skills.
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