Senior Cloud Data Engineer - Big Data & Pipelines

Ethereum Technologies; Harrisburg (Dauphin County); Presencial; USD 110.000 - 150.000; Jornada completa

Descripción de la vacante

Ethereum Technologies is seeking a data/ETL engineer in the United States to work with cloud-based data services, diverse data sources, and modern data pipelines. You will implement and optimize data models, governance, and APIs, collaborating with cross-functional teams.

The role emphasizes hands-on experience with AWS, big data tools, and streaming platforms, enabling scalable data solutions across enterprise environments.

Formación

• Hands-on experience with cloud data services (AWS: S3, EC2, Glue, EMR, RDS, Redshift, Athena)
• Proficiency in Python, R, Java, C++, Scala
• Strong SQL and NoSQL database knowledge (Oracle, MS SQL Server, Postgres, Cassandra)
• Experience with Git and CI/CD pipelines
• Data modeling incl. dimensional, data vault, star/snowflake
• Familiarity with AWS Glue Data Catalog
• Understanding data governance, lineage, quality frameworks
• REST API design and integrations
• Experience with big data tools (Hadoop, Spark, Kafka)
• Experience with data pipelines/workflows (Azkaban, Luigi, Airflow)
• Experience with data integration tools (Informatica, MuleSoft, Talend, TIBCO)
• Experience with stream processing (Storm, Spark-Streaming)

Conocimientos

Python

R

Java

C++

Scala

SQL

NoSQL

Data modeling

REST API

Data governance

Data quality

Data lineage

Streaming

Herramientas

AWS

Git

CI/CD

Glue Data Catalog

Hadoop

Spark

Kafka

Azkaban

Luigi

Airflow

Informatica

MuleSoft

Talend

TIBCO

Descripción del empleo

Ethereum Technologies is seeking a data/ETL engineer in the United States to work with cloud-based data services, diverse data sources, and modern data pipelines. You will implement and optimize data models, governance, and APIs, collaborating with cross-functional teams.

The role emphasizes hands-on experience with AWS, big data tools, and streaming platforms, enabling scalable data solutions across enterprise environments.