Cloud Data Engineer (AWS, Databricks, Snowflake)

Kunai, part of the PwC Network; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Kunai, part of the PwC Network, is hiring Data Engineers to advance a critical banking initiative, blending hands-on cloud-native data engineering with modern architectures.

This role emphasizes Python development, AWS cloud services, and work with data platforms like Databricks and Snowflake, along with streaming/batch processing using Spark and Kafka. Join a collaborative, growth-focused team delivering scalable fintech solutions.

Qualifications

• 5+ years of experience in application development with Python.
• 4+ years with AWS cloud services.
• 4+ years working with PostgreSQL and writing complex SQL queries.
• Experience with data migration activities in cloud environments.
• Experience with cloud data platforms such as Databricks and Snowflake.
• Familiarity with distributed data processing and batch/stream processing tools such as Spark, Kafka, or Kinesis.
• Experience with workflow orchestration tools like Airflow or similar.

Skills

Python

AWS

PostgreSQL

Data migration

Databricks

Snowflake

Apache Spark

Kafka

AWS Kinesis

Airflow

Java

AWS Glue

Shell scripting

Agile

Consulting

Education

Bachelor's Degree

Tools

Databricks

Snowflake

Apache Spark

Kafka

AWS Kinesis

Airflow

AWS Glue

PostgreSQL

UNIX/Linux shell

Job description

Kunai, part of the PwC Network, is hiring Data Engineers to advance a critical banking initiative, blending hands-on cloud-native data engineering with modern architectures.

This role emphasizes Python development, AWS cloud services, and work with data platforms like Databricks and Snowflake, along with streaming/batch processing using Spark and Kafka. Join a collaborative, growth-focused team delivering scalable fintech solutions.