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 Role : Sr. Data Engineer (10+ yrs)Location : Austin TX/ Denver, CO/ NYC/ NY
(On-site joining then Hybrid working)Duration : Long Term Contract
Manager Note:

1. Candidate must have to relocation on client location for Hybrid role

2. Must have Hadoop and Machine Learning experience 




Job Responsibilities:



The Senior Data Engineer is responsible for the delivery of a business need
end-to-end starting from understanding the requirements to deploying the
software into production. This role requires you to be fluent in some of the
critical technologies with proficiency in others and have a hunger to learn on
the job and add value to the business. Critical attributes of being a Senior
Data Engineer, among others, is Ownership & Accountability.

 

In addition to Delivery, the Senior Data Engineer should have an automation
first and continuous improvement mindset. They should drive the adoption of
CI/CD tools and support the improvement of the tools sets/processes.

 

Key Characteristics and duties you will perform:



Analyze source data and data flows, working with structured and
unstructured data.
Build data pipelines to extract, transform, crunch and store data in
various target systems
Write reference-able & modular code
Design and architect the solution independently
Have a passion to learn, Take ownership and accountability
Deep desire for automation using devops practices and toolsets
Have a desire to simplify, Be entrepreneurial / business mindedMandatory:



2+ years being part of Agile teams ? Scrum or Kanban
2+ years of solution architecting in cloud technology (eg. AWS, Azure,
google cloud)
6+ years of working in an object-oriented language: Java or Scala and Python
3+ years of working experience in Apache Spark, PySpark, Apache Airflow
3+ years of database systems like Hadoop, Teradata, Redshift, Oracle,
MySQL, PostgreSQL, MongoDB, Neo4j, Cassandra
3+ years of devops tool chain: Jenkins, Maven, Artifactory, Docker,
Terraform, Ansible
3+ years of experience in AWS Glue, SNS, SQS, S3, ECS, LAMBDA
2+ years of working experience with operationalizing Machine learning models
Desired:


Understanding of Machine learning frame works (e.g. Scikit learning, Scipy)
Understanding and 1+ yrs of working experience with Deep learning frameworks
Education:


Minimum degree required for position (bachelor?s degree):
Acceptable Major(s) or Field(s) of Study: Data Science, Computer Science or
any related fieldSkills/Certifications/Licenses:


Nice to have AWS solution architecture and developer certification
Nice to have data science and Machine learning certification from a reputed
institution



Reference : Sr. Data Engineer jobs

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Published at 07-11-2022
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