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Remote - Data Engineer
Remote, Work from Home
Remote
Work from Home
00000
Date
: Mar-01-24
2024-03-01
2025-03-01
Remote - Data Engineer
Remote, Work from Home
Mar-01-24
Work Authorization
US Citizen
GC
H1B
GC EAD, TN EAD, H4 EAD, L2 EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
Market
Duration
:
8 months
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Engineer
Consulting / Contract
Third Party OK
CONTRACTOR
Direct Client Requirement
Remote Work from Home
Required Skills
:
Data Modeling, Oracle Fusion ERP/Oracle E-Business suite, Project Management, Agile
Preferred Skills
:
BI Publisher
Domain
:
Work Authorization
US Citizen
GC
GC EAD, TN EAD, H4 EAD, L2 EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
Market
Duration
:
8 months
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Engineer
Consulting / Contract
Third Party OK
CONTRACTOR
Direct Client Requirement
Remote Work from Home
Required Skills
:
Data Modeling, Oracle Fusion ERP/Oracle E-Business suite, Project Management, Agile
Preferred Skills
:
BI Publisher
Domain
:
Kapson LLC
Rancho Palos Verdes, CA
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Data Engineer:
Responsibilities:
Architect, implement, and maintain scalable data architectures to meet our data processing and analytics requirements.
Collaborate with cross-functional teams to understand and translate data needs into effective data pipeline solutions.
Develop, optimize, and maintain ETL processes to facilitate smooth and accurate data movement across systems.
Implement best practices for data pipeline orchestration and automation using AWS Databricks.
Leverage AWS services to build and optimize data solutions.
Utilize Databricks for big data processing, analytics, and machine learning workflows.
Establish data quality checks and ensure data integrity and accuracy throughout the data lifecycle.
Implement and enforce data governance policies and procedures.
Optimize data processing and query performance for large-scale datasets within AWS and Databricks environments.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and provide the necessary infrastructure.
Document data engineering processes, architecture, and configurations.
Qualifications:
Proficient in data engineering roles with a focus on AWS and Databricks.
Strong programming skills in languages such as Python / PySpark and SQL.
In-depth Knowledge of Medallion architecture for data pipelines is required.
Experience with Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables (DLT).
Experience with data modeling, schema design, and database optimization.
Experience with data pipeline orchestration tools.
Experience with CI/CD on Databricks using tools such as GitHub Actions, and Databricks CLI.
Understanding of Data Management principles (quality, governance, security, privacy, life cycle management, cataloging)
Ability to troubleshoot complex data issues and implement effective solutions.
Build and support data infrastructure that will enable the automation of processes across a variety of ingestion, transformation, and consumption methods.
Design, Build, Publish, and maintain performant, reliable data models and pipelines to enable
Self-service consumption throughout the enterprise.
Publish data models to enable flexible querying of data and visualizations.
Operate at the intersection of upstream data producers and consumers to collaborate for successful analytical outcomes.
Create processes for monitoring and alerting for the health of data pipelines.
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