Data Engineer (AWS and ETL and PySpark

Hire IT People

Chicago, United States of America

1 month ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Chicago, United States of America

Amazon Web Services (AWS)

Big Data

Cloudera Impala

Computer Programming

Data Warehousing

Hadoop

Hive

Identity and Access Management

Oracle Applications

Cloudera

Amazon Web Services (AWS)

Data Lake

GraphQL

Functional Programming

Databricks

BS degree in Computer Science or certification on software engineering.
Proficient in data analysis, data engineering, data modeling, and database management.
Strong understanding of RDBMS, NoSQL, big data, SQL, and ETL tools.
Experience programming with at least one modern language such as Java, Python, Unix Shell.
Proficiency in REST APIs, microservices, distributed systems and cloud (hybrid) computing .
Strong understanding of Agile methodologies with ability to work in at least one of the common frameworks.
Strong understanding of techniques such as CI/CD, TDD, cloud development, resiliency, and security.
Proven experience with business analysis, design, development, testing, deployment, maintenance, and improvement.

Preferred qualifications, capabilities, and skills:

Experience working with data intensive software (such as big data, data warehouses, data lakes).
AWS experience with developing on AWS, S3, Lambda, MSK, EC2, IAM, and related data products.
Experience with Databricks, Amazon RDS, Oracle, Hadoop/Cloudera, HUE, Hive, Impala.
Experience with GraphQL.