Data Engineer-Pyspark

Newt Global

United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Amazon Web Services Microsoft Azure Big Data Extract Transform Load (ETL) DevOps Apache Hadoop Python (Programming Language) Software Engineering SQL Databases Google Cloud Pyspark

Requirements

Experience as a big data engineer
In-depth knowledge of Hadoop, Pyspark, Python, SQL and similar frameworks.
Good in ETL / ELT tools.
Good in DevOps CI/CD, Scheduling, and automations.
At least 3 years of Strong Experience In Google Cloud Platform or Aws or Azure
Excellent project management skills and good communication skills.
Ability to solve complex networking, data, and software issues.
Banking Experience is must

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum · WWC Europe 2026

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

Videos

See all

PySpark - Combining Machine Learning & Big Data thumbnail