Overview
On Site
Contract - Independent
Skills
Analytical Skill
Conflict Resolution
Problem Solving
Extract
Transform
Load
Continuous Integration
Continuous Delivery
Bamboo
Bitbucket
GitHub
Test-driven Development
Cloud Computing
Unix
Scripting
Linux
Apache Spark
Data Processing
Python
PySpark
SQL
Amazon S3
Amazon Web Services
Oracle
Apache Hive
Privacy
Marketing
Job Details
Location: Malvern, PA
Description: Our large, FINTECH client located in Malvern, PA is currently seeking an AWS Data Engineer (1+ Year Contract/Hybrid).
Responsibilities
Analyze complex business problems, track down required information, document requirements, and develop technical solutions.
Strong analytical and problem-solving skills and the tenacity to overcome technical challenges.
Troubleshoot and optimize new and existing ETL packages.
Experience with AWS Glue, AWS Athena, Lambda, AWS Cloudformation, AWS IAM & S3, AWS SNS, Oracle, Hive.
Experience with CI/CD pipeline tools like Bamboo, Bitbucket, GitHub.
Experience with Test Driven Development.
Experience with building AWS cloud formation templates.
Experience with building server level architecture framework in AWS.
Experience with Unix scripting/Linux configuration preferred.
Experience building Spark data processing applications (Python, Pyspark)
Experience with Sql developnment.
Qualifications
Pyspark, SQL, AWS Glue, AWS Athena, Lambda, AWS Cloudformation, AWS IAM & S3, AWS SNS, Oracle, Hive
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
Description: Our large, FINTECH client located in Malvern, PA is currently seeking an AWS Data Engineer (1+ Year Contract/Hybrid).
Responsibilities
Analyze complex business problems, track down required information, document requirements, and develop technical solutions.
Strong analytical and problem-solving skills and the tenacity to overcome technical challenges.
Troubleshoot and optimize new and existing ETL packages.
Experience with AWS Glue, AWS Athena, Lambda, AWS Cloudformation, AWS IAM & S3, AWS SNS, Oracle, Hive.
Experience with CI/CD pipeline tools like Bamboo, Bitbucket, GitHub.
Experience with Test Driven Development.
Experience with building AWS cloud formation templates.
Experience with building server level architecture framework in AWS.
Experience with Unix scripting/Linux configuration preferred.
Experience building Spark data processing applications (Python, Pyspark)
Experience with Sql developnment.
Qualifications
Pyspark, SQL, AWS Glue, AWS Athena, Lambda, AWS Cloudformation, AWS IAM & S3, AWS SNS, Oracle, Hive
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.