Remote - Data Engineer

Remote, Work from Home Remote Work from Home 00000

Date : Jun-02-22

Remote - Data Engineer

Remote, Work from Home

Jun-02-22

Work Authorization

US Citizen
GC
H1B
OPT EAD, CPT EAD, GC EAD, L2 EAD, H4 EAD, TN EAD

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect, Senior

Rate/Salary ($)

:

Market

Duration

:

12 months

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Engineer

Consulting / Contract

Remote Work from Home

Required Skills :

AWS, Cloud Computing, SQL, Backend, Big Data, Data Structure, DevOps, Hive, Metadata, NoSQL, Python, Redis, Scala, Workflow

Preferred Skills :

Domain :

Work Authorization

US Citizen
GC
OPT EAD, CPT EAD, GC EAD, L2 EAD, H4 EAD, TN EAD
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect, Senior

Rate/Salary ($)

:

Market

Duration

:

12 months

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Engineer

Consulting / Contract

Remote Work from Home

Required Skills :

AWS, Cloud Computing, SQL, Backend, Big Data, Data Structure, DevOps, Hive, Metadata, NoSQL, Python, Redis, Scala, Workflow

Preferred Skills :

Domain :

Apply Now

Meritore Technologies, LLC
Ashburn, VA
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Job Description :

Job Title: Data Engineer

Location: Remote

Duration: 12+ Months

Job Description:

Challenges you will work on:

Design and develop business-critical backend systems using stream processors and high-quality data pipelines.
Work in a cross-functional team of engineers and scientists to design and code large-scale batch and real-time data pipelines.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
using SQL and AWS ‘big data’ technologies.
Build a cloud-native, real-time stream processing & data lake platform that scales into the Petabytes and beyond.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency,
and other key business performance metrics.
Perform code reviews, and lead by example on code refactoring for readability, extensibility, and testability
Lead your products, with a focus on DevOps and robust automation
Build processes that support data transformation, workload management, data structures, dependency, and metadata

Who you are:

We are looking for a candidate with 5+ years of experience in a Data Engineering role, who has attained a Graduate degree in Computer
Science, Statistics, Informatics, Information Systems, or another quantitative field. They should also have experience using the following

software/tools:

Strong verbal and written communication skills
Experience with relational SQL(Hive/Presto) and NoSQL (Dynomodb/Redis)
Experience with data pipeline and workflow management tools: Airflow
Experience with AWS cloud services: EC2, S3
Experience with object-oriented/object function scripting languages: Scala, Python, etc.

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