Overview
On Site
73.34/hr - 73.34/hr
Full Time
Skills
Data quality
Backend development
Amazon S3
Computer science
Data storage
Data modeling
Impact analysis
Data
Cryptography
Fluency
SQL
Extract
transform
load
ELT
Reporting
Python
Apache Spark
Snow flake schema
Databricks
Amazon Web Services
Remote Desktop Services
Apache Hadoop
Training
Apache Kafka
Streaming
Analytics
Machine Learning (ML)
Management
MongoDB
Job Details
Our large crypto company is looking for a contract Data Platform Engineer. This is a remote contract position.
Contract Duration: 12-Months
Required Skills & Experience
Desired Skills & Experience
What You Will Be Doing
Daily Responsibilities
Contract Duration: 12-Months
Required Skills & Experience
- 4+ years of relevant work experience.
- Fluent SQL skills for ETL/ELT, data quality, and reporting.
- Strong Python or Spark backend development skills.
- General experience working with Snowflake, Databricks or Trino.
- Experience with core AWS services and concepts (S3, IAM, ASG, RDS).
- Leverage your Python, Airflow, and Looker/Superset expertise to scale our data pipelines and models.
Desired Skills & Experience
- Computer Science/Engineering degree is preferred.
- Snowflake/Databricks/Hadoop training certificate is a plus.
- [Optional] Experience with Kafka or Pub/Sub for streaming ecosystem.
What You Will Be Doing
Daily Responsibilities
- Data Platform team builds and operates systems to centralize all of the client's data, making it easy for teams across the company to access, transform, and consume/serve that data for analytics, ML, and powering end-user experiences.
- As an engineer on the team you will manage scalable data storage and pipelines, optimize data model, system efficiency and developer experience.
- For example, you will onboard new datasets from MongoDB/RDS/Kafka to Snowflake and Databricks, conduct impact analysis based on data lineage, and refactor data model for quality, reusability, performance and cost efficiency.