Data Engineer (Python + SQL + Snowflake + AWS)

Aivra Health Llc

Fond du Lac, WI, United States

26 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience required

1 year minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Airflow Amazon Web Services Amazon S3 Big Data Cloud Database Information Systems Information Engineering Extract Transform Load (ETL) Python (Programming Language) Standard Sql SQL Databases Cloud Platform System

+11 more

Snowflake Apache Spark Git Build Management Pyspark Kubernetes Information Technology Apache Kafka Terraform Data Pipelines Docker

Job description

We are looking for a talented Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions. The ideal candidate should have expertise in Python, SQL, Snowflake, AWS, and ETL processes., * Design and build scalable ETL/ELT pipelines.

Develop and optimize data models and workflows.
Manage large-scale datasets using Snowflake.
Integrate data from multiple sources into cloud platforms.
Monitor and improve data pipeline performance.
Collaborate with Data Analysts, Data Scientists, and Engineering teams.
Ensure data quality, security, and governance.

Requirements

Python
SQL
Snowflake
AWS (S3, Glue, Lambda, Redshift)
ETL Pipelines
Spark/PySpark
Apache Airflow
Git

Preferred Skills

DBT
Kafka
Terraform
Docker
Kubernetes, * Bachelor’’s or Master’’s degree in Computer Science, Information Systems, or related field.
3-8 years of Data Engineering experience.
Experience working with cloud-based data platforms.
Strong analytical and problem-solving skills.