AWS Python Developer with Pyspark

Hello Folks, Hope you are doing good! Please find the below requirement and let me know your interest? 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 interview Job Summary: We are seeking an experienced Python Developer with strong expertise in AWS and PySpark 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. Required 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. Preferred 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 ID: | Phone: + 1 443 489 4433 6095 Marshalee Dr, Suite 250, Elkridge, MD 21075 Consulting | Technology | Development Offices: Maryland | Georgia | India Note: If you have received this message in error, please notify us immediately by reply e-mail so that we may correct our internal records. Please then delete the original message (including any attachments) in its entirety. Thank you