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Lead Data Engineer Hadoop/AWS

In Massachusetts / United States

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Lead Data Engineer Hadoop/AWS   

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JOB TITLE:
Lead Data Engineer Hadoop/AWS
JOB TYPE:

JOB SKILLS:
JOB LOCATION:
Boston Massachusetts / United States

JOB DESCRIPTION :

Role: Lead Data Engineer Hadoop/AWS

Location: Boston, MA (on-site after covid)

Duration: 1 year with extension

Skills: AWS, Python, Hadoop, Investment management domain experience is a must

Must have:

Experience in building data pipeline solutions in AWS.
AWS services Python/Glue/Spark/Athena
Python knowledge is preferred.
Investment management domain experience (Data structures, Pricing, Portfolio etc.,)

Job Description:

Hands on full-stack cloud data engineer with expertise in building efficient and optimal cloud-based solutions in a company (particularly in the space of data management)
Expertise in building scalable data ingestion and transformations using Python/Glue/Spark/Athena for disparate large datasets.
Strong programming skills in Python knowledge of libraries such as Pandas and/or Spark dataframes a plus.
Experience with Cloud databases AWS Redshift, DynamoDB or similar
Expertise with API development and RESTful services that integrate with the data platform
Demonstrated experience in building data pipeline solutions and resolving performance bottlenecks
Expertise with all the basic AWS services like S3, IAM, SNS/SQS, Glue, Athena, Cloud Watch, Cloud Trail
Keeping up with the AWS updates/announcement and propose/implement - move fast for what we know now and keep a path to evolve as we go
A product development mindset and expertise in CI/CD pipeline
Rigorous attention to detail and accuracy.

Position Details

S16174658621991005
Massachusetts / United States
Boston
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Lead Data Engineer Hadoop/AWS    Apply

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Role: Lead Data Engineer Hadoop/AWS

Location: Boston, MA (on-site after covid)

Duration: 1 year with extension

Skills: AWS, Python, Hadoop, Investment management domain experience is a must

Must have:

Experience in building data pipeline solutions in AWS.
AWS services Python/Glue/Spark/Athena
Python knowledge is preferred.
Investment management domain experience (Data structures, Pricing, Portfolio etc.,)

Job Description:

Hands on full-stack cloud data engineer with expertise in building efficient and optimal cloud-based solutions in a company (particularly in the space of data management)
Expertise in building scalable data ingestion and transformations using Python/Glue/Spark/Athena for disparate large datasets.
Strong programming skills in Python knowledge of libraries such as Pandas and/or Spark dataframes a plus.
Experience with Cloud databases AWS Redshift, DynamoDB or similar
Expertise with API development and RESTful services that integrate with the data platform
Demonstrated experience in building data pipeline solutions and resolving performance bottlenecks
Expertise with all the basic AWS services like S3, IAM, SNS/SQS, Glue, Athena, Cloud Watch, Cloud Trail
Keeping up with the AWS updates/announcement and propose/implement - move fast for what we know now and keep a path to evolve as we go
A product development mindset and expertise in CI/CD pipeline
Rigorous attention to detail and accuracy.