Data Engineer with PySpark & DPL

Role: Data Engineer with PySpark & DPL Location: Jersey City, NJ Required Skills & Qualifications

Strong hands-on expertise with:

PySpark

(RDD, DataFrames, Spark SQL, performance tuning)

DPL

(Data Pipeline Language / relevant tool‑specific DPL)

Proficiency in

Python

for data engineering workflows.

Experience with distributed computing and big data technologies (Spark, Hadoop, Delta Lake).

Strong SQL skills and experience with relational and NoSQL databases.

Experience building ETL/ELT pipelines on cloud platforms (AWS / Azure / Google Cloud Platform).

Familiarity with CI/CD, Git, and containerization (Docker/Kubernetes) is a plus.

Bachelor's or Master's in Computer Science, Engineering, or related field.

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