StatusNeo-Data Engineer

Job Title: Data Engineer (Python, PySpark, AWS)

Location: Bangalore (Onsite)
Experience: 4+ Years
Employment Type: Full-Time

Job Summary:

We are looking for an experienced Data Engineer with strong hands-on expertise in Python, PySpark, and AWS Cloud services. The ideal candidate will play a key role in building scalable, efficient, and reliable data pipelines and supporting data infrastructure for analytics and reporting.

Key Responsibilities:

• Design, build, and maintain scalable data pipelines using PySpark and Python

• Develop and optimize ETL workflows to process structured and semi-structured data

• Work with large datasets stored on AWS S3, and process them using Glue, EMR, or Lambda

• Collaborate with Data Scientists, Analysts, and Product teams to define data needs and deliver quality solutions

• Ensure data quality, integrity, and consistency across systems

• Manage orchestration using AWS Step Functions, Glue Workflows, or Airflow

• Monitor and optimize performance of pipelines, storage, and compute resources

• Participate in data modeling, schema design, and documentation
  
  

  Required Skills:

  • 4+ years of experience as a Data Engineer or similar role

  • Strong programming skills in Python with experience in writing clean, scalable code

  • Hands-on experience with PySpark and distributed data processing

  • Proficient in AWS services: S3, Glue, EMR, Lambda, Athena, Redshift

  • Good understanding of SQL and working with relational databases

  • Familiarity with DevOps tools (Git, CI/CD) and job scheduling/orchestration tools

  • Strong problem-solving skills and attention to detail
    
    

    Educational Qualification:

    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field