Data Engineer - Hybrid (Newark, NJ)

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Overview

function googleTranslateElementInit() { new google.translate.TranslateElement({pageLanguage: 'en'}, 'google_translate_element'); } Data Engineer - Hybrid (Newark, NJ)…

Technical Tools

awsjenkinspostgresqlpower-bipythonsparksplunksqlagilelinux

Job Description

Looking for data engineers with 9+ years of experience.

1.    Experience developing and deploying application code using SQL, Python, spark.
2. 3 to 5 years’ experience developing and deploying data pipeline in cloud.
3. 3 to 5 years experience in AWS using glue, athena, lambda, secrets manager, redshift, redshift spectrum, postgreSQL, cloudformaton, step functions, s3, ec2, boto3.
4.    Securing data using IAM and Active Directory.
5.    Experience developing Linux, UNIX shell scripts.
6.    Developer experience in big data or warehouse (Hadoop, DB2 LUW) environment.
7.    Experience with monitoring and logging techniques to be used in conjunction with Cloudwatch and Splunk.
8.    Working knowledge of version control tools and branching techniques using Artifactory, Jenkins, and Bitbucket.
9.    3-5 years’ experience with Power BI.

Additional information on background:

10.    Agile experience expected.
11.    Leadership skill/ Soft skills: Collaborative, team player. Self-starter. Curious about technology.
12.    Total level of experience: Seeking developers with python, spark, pyspark, and SQL developer experience in AWS.
13.    AWS Cloud Practitioner certification, or other AWS certification is a plus.
14.    Industries: Financial services tech experience is plus.

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