Data Architect

Remote • Posted 2 hours ago • Updated 2 hours ago

Contract W2

Contract Independent

Remote

Depends on Experience

Fitment

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Job Details

Skills

ADF
Agile
Analytical Skill
Apache Spark
Cloud Computing
Collaboration
Communication
Computer Science
Conflict Resolution
Continuous Delivery
Continuous Integration
Continuous Integration and Development
Data Engineering
Data Management
Data Processing
Data Quality
Data Warehouse
Databricks
DevOps
Dimensional Modeling
ELT
Extract
Transform
Load
Health Care
Information Technology
Microsoft Azure
Microsoft Power BI
Multitasking
Optimization
Orchestration
Problem Solving
Product Development
PySpark
Python
SQL
SQL Azure

Summary

Position: Sr Data Architect
Location: Remote
Duration: Long Term
Note: though the position lists Sr Data Engineer, whom they are essentially looking for is a Sr Data Architect who knows the Databricks platform in and out (all of its modules, capabilities and purposes).
Job description:

Our client is seeking strong data engineers to be part of data product development team consists of data engineers who
can assist to translate business requirements into data products. create efficient data pipelines with reusability, Work with product
owners and stakeholders to design, develop, and implement data supply chains in enterprise data warehouse environment using
Microsoft Azure, ADF, Python, Pyspark, Spark SQL and Databricks environment. Ensure data quality, reliability of data, orchestration of
data pipelines, CI/CD implementation, performance and optimization of data pipelines to ensure efficiency. Collaborate with cross-functional
teams to integrate data sources and optimize data pipelines. Provide technical expertise and support for Azure Databricks-related projects.
Follow technical best practices and coding standards, job orchestration & monitoring, produce the mandatory artifacts.

Requirements:

Bachelor's degree in computer science, information technology, or a related field.
Prior experience with data lakes and data warehouses, working knowledge with dimensional modeling is must.
Demonstrate advanced understanding in data engineering practices, Including ETL/ELT, data integrations, reusable data pipelines,
data management methods.
Advanced Pyspark, Python, Spark SQL, Dimensional models, optimization in Azure, data bricks skills required.
Ability to service various business stakeholders, internal and external partners to support data demands.
Health care experience is desired with a data-centric motive is a plus.
5+ years of experience in data engineering with Azure data bricks ecosystem.
Strong knowledge of Azure data services, including ADF, Databricks, Delta Lake, delta live tables, Power BI, and Azure SQL Server
Experience with data processing languages such as SQL, Python, Pyspark and Spark SQL
Experience with agile methodologies on Azure DevOps and continuous integration/continuous delivery (CI/CD)
Strong problem-solving and analytical skills; excellent communication and collaboration skills
Self-motivated and a self-starter with strong ability to multitask projects/tasks effectively.
Ability to work independently and collaborate effectively in a team environment.
Proven experience with cloud platforms, Microsoft Azure, Databricks environment.
Applicants must be currently authorized to work in the United States

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90943978
Position Id: 8883862
Posted 2 hours ago

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Data Architect

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Job Details

Skills

Summary

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