AWS Python Developer Pyspark
Listed on 2026-02-16
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IT/Tech
Data Engineer
Overview
Manager – IT Staffing
Title:
Python Developer with AWS & PySpark (It’s backfill Role)
Location:
New Jersey
Mode of work:
Hybrid
Visa: GC, GC EAD, USC, H4 EAD only
Looking for Local candidates only with 10+ years of experience and final round interview will be in-person
Job SummaryWe are seeking an experienced Python Developer with strong expertise in AWS and Py Spark to join our data engineering team. The ideal candidate will have hands-on experience developing scalable data pipelines, processing large data sets, and integrating with cloud-based environments. This role requires excellent problem-solving skills and a strong understanding of distributed data processing frameworks.
Key Responsibilities- Design, develop, and maintain data pipelines and ETL workflows using Python, PySpark, and AWS services.
- Build and optimize large-scale data processing and data transformation solutions.
- Integrate various data sources and ensure data quality, performance, and reliability.
- Collaborate with data engineers, analysts, and architects to deliver end-to-end data solutions.
- Implement best practices for code optimization, error handling, and data validation.
- Participate in code reviews, documentation, and deployment automation.
- Ensure adherence to data security and compliance standards.
Skills & Qualifications
- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
- 10+ years of experience in software development with a strong focus on Python.
- Hands-on experience with PySpark for distributed data processing.
- Solid understanding of AWS cloud services such as S3, Glue, Lambda, EMR, Redshift, and Athena.
- Strong experience in ETL development and data pipeline orchestration.
- Familiarity with SQL and relational/non-relational databases.
- Excellent analytical, debugging, and communication skills.
- Experience with Airflow, Databricks, or other workflow management tools.
- Knowledge of CI/CD pipelines and version control tools like Git.
- Exposure to data lake or data warehouse architectures.
- Familiarity with Docker or Kubernetes for deployment.
Thanks & Regards
Jagdish
Manager – IT Staffing
Email : | Phone:
6095 Marshalee Dr, Suite 250, Elkridge, MD 21075
Consulting | Technology | Development
Offices:
Maryland | Georgia | India
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