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Senior Data Engineer : Remote
Remote, Work from Home
Remote
Work from Home
00000
Date
: Sep-01-22
2022-09-01
2023-09-01
Senior Data Engineer : Remote
Remote, Work from Home
Sep-01-22
Work Authorization
US Citizen
GC
H1B
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
Rate/Salary ($)
:
Market
Duration
:
Long term
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Engineer
Permanent Direct Hire
Consulting / Contract
Third Party OK
FULL_TIME, CONTRACTOR
Remote Work from Home
Required Skills
:
Data Engineer, Data Modeling, Python, Apache, Data Warehousing, ETL, Go, Hadoop, JAVA, Machine learning, NoSQL, SQL
Preferred Skills
:
data engineers with Apache Spark/Databricks (Python)
Domain
:
Work Authorization
US Citizen
GC
GC EAD, L2 EAD, H4 EAD, TN EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
Market
Duration
:
Long term
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Engineer
Permanent Direct Hire
Consulting / Contract
Third Party OK
FULL_TIME, CONTRACTOR
Remote Work from Home
Required Skills
:
Data Engineer, Data Modeling, Python, Apache, Data Warehousing, ETL, Go, Hadoop, JAVA, Machine learning, NoSQL, SQL
Preferred Skills
:
data engineers with Apache Spark/Databricks (Python)
Domain
:
Everest Consulting Group
Edison, NJ
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Mandatory skill
data engineers with Apache Spark/Databricks (Python)
What you'll be working on
Build reverse ETL pipelines to integrate with external systems to operationalize data from our customer data platform. Including building and integrating REST APIs, web hooks, etc.
Ensure integration systems are secure, compliant, efficient, and scalable. Ensure data quality
Collaborate with company leadership, finance, product, data, and design teams across the organization to design and implement early warning and alerting systems to drive customer engagement, and actionable insights for customer acquisition, retention, and other key business performance metrics.
Design, implement and support infrastructure required for optimal transformation and integrations in collaboration with data scientists and ML engineers
Identify requirements and create methods to enrich data from multiple sources
Play a key role in adopting best practices and defining data modeling standards
What you bring to the role
Bachelor's degree in Computer Science, Mathematics or related field
5+ years of industry experience as a Data Engineer working on large data sets building data frameworks and data products
Excellent programming skills in one or more of the following languages: Python, Go, Java
Advanced SQL knowledge and experience with relational and NoSQL databases
Experience with data modeling, data warehousing, and data pipelines. Experience using tools such as dbt, Airflow, Luigi etc.
Experience developing algorithms and statistical models to analyze and interpret data sets, identifying trends/patterns. Experience with data visualization
Experience with public cloud, preferably AWS, and services such as Redshift, S3, ECS, EC, Kinesis etc.
Working knowledge of message queuing and stream processing
Experience with Spark, Databricks, Hadoop, and related technologies is a plus
Experience providing technical leadership and mentoring to other engineers on data engineering
Ability to communicate clearly and use a collaborative approach across boundaries to get work done
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