Description
Must have:
- AWS
- ETL
- EMR
- GLUE
- Spark/Scala
- Java
- Python
Good to have:
- Cloudera - Spark, Hive, Impala, HDFS
- Informatica PowerCenter
- Informatica DQ/DG
- Snowflake Erwin
Qualifications:
- Bachelor's or master's degree in computer science, Data Engineering, or a related field.
- 5 to 8 years of experience in data engineering, including working with AWS services.
- Proficiency in AWS services like S3, Glue, Redshift, Lambda, and EMR.
- Knowledge on Cloudera based hadoop is a plus.
- Strong ETL development skills and experience with data integration tools.
- Knowledge of data modeling, data warehousing, and data transformation techniques.
- Familiarity with data quality and data governance principles.
Skills:
- Strong problem-solving and troubleshooting skills.
- Excellent communication and teamwork skills, with the ability to collaborate with technical and non-technical stakeholders.
- Knowledge of best practices in data engineering, scalability, and performance optimization.
- Experience with version control systems and DevOps practices is a plus.