Senior AWS Data Engineer - EMR/PySpark - Conshohocken - 140K+
I am actively sourcing for an exciting live opportunity for Data Engineers in the Greater Philadelphia Area. My client is a highly successful, rapidly growing technology company that creates custom Data Analytics Products for clients in a variety of industry verticals: Insurance, Automotive, Real-Estate, etc.
They are seeking a Senior AWS Data Engineer to design, develop, optimize, and scale highly-available, distributed data pipelines to process up to a petabyte daily.
Qualified candidates should demonstrate
* Production experience with AWS
* EMR, Redshift, Athena, Kinesis Firehose, Glue, Lambda, Aurora, RDS, DynamoDB, etc.
* Experience in the hands-on development of distributed data pipelines using PySpark or Spark-Scala
* Strong proficiency in SQL for developing database schema and advanced queries
* Experience with CI/CD technologies such as Gitlab CI is strongly preferred
* Experience with IaC technologies such as Terraform is strongly preferred
For the right candidate, we are prepared to offer
* Competitive Salary
* Stock Options
* Flexible Work Hours
* Unlimited PTO
* Company Sponsored Vacations/Retreats
* Premium Medical Benefits
* & Much More!
This role is a top priority for my client; therefore, interviews have already begun and processes are moving quickly.
To ensure consideration, please send all resumes and referrals to firstname.lastname@example.org ASAP
AWS / EMR / Redshift / Athena / Kinesis / Firehose / Glue / Lambda / Aurora / RDS / DynamoDB / Big Data / Spark / Scala / PySpark / Python / SQL / NoSQ: / ETL / CI/CD / Gitlab / IaC / Terraform / Data Pipeline