Python development continues to power everything from web services to data pipelines, making senior Python talent one of the most sought‑after profiles in today’s tech market. Companies are racing to modernize legacy systems and unlock insights from massive datasets, so a role that blends Python, ETL, and big‑data expertise is especially valuable. This Sr Python Developer position in New Jersey offers a hands‑on, onsite environment where you can drive enterprise‑level solutions and grow your impact.

Job Summary

We are seeking a senior‑level Python developer to design, build, and maintain robust ETL pipelines and data integration solutions. The role involves working with relational and NoSQL databases, collaborating in an Agile team, and optionally leveraging big‑data platforms such as Hadoop or PySpark to solve complex enterprise problems.

Top 3 Critical Skills Table

Interview Preparation

1. Explain how you would design an ETL pipeline that extracts data from PostgreSQL, transforms it using Python, and loads it into MongoDB.
   What the interviewer is looking for: Understanding of data extraction, transformation libraries (e.g., pandas), connection handling, and idempotent loading strategies.
2. Describe the differences between batch processing with Hadoop and stream processing with PySpark. When would you choose one over the other?
   What the interviewer is looking for: Knowledge of processing paradigms, latency considerations, and resource management.
3. How do you optimize SQL queries for large datasets in Microsoft SQL Server?
   What the interviewer is looking for: Indexing, query plan analysis, partitioning, and best‑practice tuning techniques.
4. Walk me through a situation where an Agile sprint faced a major blocker. How did you resolve it?
   What the interviewer is looking for: Communication, problem‑solving, and ability to adapt within Scrum frameworks.
5. Write a Python function that safely reads a large CSV file and writes it to a Parquet file using PySpark.
   What the interviewer is looking for: Proficiency with PySpark DataFrames, handling of schema inference, and performance‑aware coding.

Resume Optimization

• Python
• SQL
• ETL development
• PostgreSQL
• MongoDB
• Microsoft SQL Server
• Agile development
• Hadoop
• PySpark
• Big data

Application Strategy

When reaching out to the recruiter, send a concise email that starts with a friendly greeting, attaches your updated resume, and clearly highlights your top relevant skills. Make sure to mention related skills you possess, such as Python, SQL/ETL, and big‑data tools (Hadoop/PySpark), and briefly reference any projects where you built end‑to‑end data pipelines.

Career Roadmap