Based on the image, here's a professionally formatted Job Description for a Big Data Engineer (EL3).
# Job Title: Big Data Engineer (EL3)
**Experience:** 4+ Years
**Employment Type:** Full-Time
**Location:** [Location]
## Job Summary
We are looking for a skilled Big Data Engineer with 4+ years of experience in designing, developing, and optimizing scalable big data solutions. The ideal candidate should have strong expertise in Scala, PySpark, AWS, and AWS Glue, with hands-on experience building high-performance data pipelines and data validation frameworks. The candidate will work closely with cross-functional teams to deliver scalable, high-quality data engineering solutions while leveraging AI-powered development tools to improve productivity.
## Key Responsibilities
* Design, develop, and optimize highly scalable, rule-based data validation engines capable of validating data across multiple data pipelines.
* Build and maintain high-performance big data pipelines using Scala, PySpark, AWS, and AWS Glue.
* Develop clean, efficient, and well-tested code while utilizing optimized data formats such as Parquet for high-performance storage and retrieval.
* Perform data validation, profiling, and quality assessments to ensure consistency and accuracy across enterprise data systems.
* Leverage enterprise-approved AI coding assistants and code-generation tools to improve software development efficiency and automate repetitive tasks.
* Collaborate with business stakeholders and cross-functional engineering teams to translate business requirements into scalable technical solutions.
* Evaluate emerging big data technologies and AI-driven engineering practices to enhance platform capabilities.
* Participate in code reviews, testing, debugging, and performance tuning to ensure high-quality software delivery.
* Continuously optimize data processing performance, scalability, and reliability across distributed systems.
## Required Qualifications
* Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
* 4+ years of software engineering experience developing big data pipelines.
* 3+ years of hands-on programming experience in Scala and PySpark.
* 3+ years of experience building big data solutions on AWS.
* Strong experience with AWS Glue for ETL development.
* Experience working with big data storage formats such as Parquet.
* At least 1 year of experience in data validation, data profiling, or building rule-based data validation engines.
* Experience using AI coding assistants or code-generation tools (such as GitHub Copilot or Codex) during software development.
## Required Technical Skills
* Scala
* PySpark
* Apache Spark
* AWS
* AWS Glue
* Parquet
* ETL Development
* Data Validation
* Data Profiling
* Big Data Pipelines
* Distributed Data Processing
* SQL
* Git
* AI Coding Assistants (GitHub Copilot, Codex, etc.)
## Preferred Skills
* Experience with large-scale distributed data processing.
* Knowledge of data quality frameworks and governance practices.
* Strong analytical and problem-solving abilities.
* Familiarity with CI/CD pipelines and software engineering best practices.
* Excellent communication and collaboration skills.
## What We Offer
* Opportunity to work on enterprise-scale big data platforms.
* Exposure to AI-assisted software development practices.
* Collaborative and innovation-driven work environment.
* Career growth with modern cloud and big data technologies.
* Competitive compensation and benefits package.
Work Location: Hybrid remote in Remote
