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Sr Data Engineer at Remote, Remote, USA
Email: [email protected]
Hello
Associate,   

Hope
you are doing well

We
have the below requirement open. Please send me your genuine candidate on my
email ID
[email protected]

Job title : Sr Data Engineer

Location : McLean or Richmond, VA Only locals

Duration: Long Term    

Looking
for past Capital One experience candidates and local only. Somebody with
banking experience also will be given preference but need local candidates to
Mclean or Richmond only.

Job Description:

Be a part of team designing and building
Enterprise Level scalable, low-latency, fault-tolerant data Pipelines that provides
meaningful and timely insights

Build the next generation Distributed
Data Pipelines using programming languages like Python

Be part of a group of engineers building
data pipelines using big data technologies (Spark, Snowflake, AWS Big Data
Services like Glue) on medium to large scale datasets

Work in a creative & collaborative
environment driven by agile methodologies with focus on CI/CD, Application
Resiliency Standards, and partnership with Cyber & Security teams

Collaborate with and across Agile teams
to design, develop, test, implement, and support technical solutions in
full-stack development tools and technologies

Collaborate with digital product
managers, and deliver robust cloud-based solutions.

Perform unit tests and conduct reviews
with other team members to make sure your code is rigorously designed,
elegantly coded, and effectively tuned for performance

Preferred Skills:

AWS (EMR, EC2, Glue, Lambda, S3), Spark,
Python, Databricks

3+ years of experience in application
development including Python, SQL

2+ years of experience with a public
cloud (AWS)

3+ years experience with Distributed
data computing tools (Spark)

3+ years of experience with UNIX/Linux
including basic commands and shell scripting

2+ years of experience with Agile
engineering practices

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Keywords: continuous integration continuous deployment sthree information technology Idaho Virginia
Sr Data Engineer
[email protected]
[email protected]
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Tue Jul 23 19:16:00 UTC 2024

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