Data Engineer

Data Engineer

Pittsburgh, PA

Role Description:

1. At least 8+ years of experience architecting and implementing complex ETL pipelines preferably with Spark toolset.

2. At least 4+ years of experience with Java particularly within the data space

3. Technical expertise regarding data models, database design development, data mining and segmentation techniques

4. Good experience writing complex SQL and ETL processes

5. Excellent coding and design skills, particularly in Java/Scala and Python and or Java.

6. Experience working with large data volumes, including processing, transforming and transporting large-scale data

7. Experience in AWS technologies such as EC2, Redshift, Cloud formation, EMR, AWS S3, AWS Analytics required.

8. Big data related AWS technologies like HIVE, Presto, Hadoop required.

9. AWS certification is preferable: AWS Developer/Architect/DevOps/Big Data

10. Excellent working knowledge of Apache Hadoop, Apache Spark, Kafka, Scala, Python etc.

11. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

12. Good understanding & usage of algorithms and data structures13. Good Experience building reusable frameworks.14. Experience working in an Agile Team environment.

15. AWS certification is preferable: AWS Developer/Architect/DevOps/Big Data

Essential Skills:

1. Good experience writing complex SQL and ETL processes

2. Excellent coding and design skills, particularly in Java/Scala and Python and or Java.

3. Experience working with large data volumes, including processing, transforming and transporting large-scale data

4. Experience in AWS technologies such as EC2, Redshift, Cloud formation, EMR, AWS S3, AWS Analytics required.