2

Full Time Azure Data Factory Developer Jobs in Oregon

Data Engineer

OR · On-site +1

$114K - $137K/yr

Data Engineer (Microsoft Stack) Join our collaborative Data and AI team, where every member ... ETL/ELT pipelines using Azure Data Factory. * Develop and maintain data models, cloud data ...

OR

$114K - $137K/yr

Proven experience building ETL/ELT Orchestration tools like Azure Data Factory, Airflow / Dagster ... Expertise in setting up CI/CD pipelines and DevOps for data projects (e.g. GIT, Terraform, etc.

$114K - $137K/yr

Support data platform tools such as Azure Data Factory, Databricks, Python/Spark jobs, and version ... Employment Type: FULL_TIME

... Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow - Enhancing Cloud ...

Lead Azure Data Engineer

OR · Remote

$102K - $134K/yr

... DevOps * Strong understanding of Azure Monitor, Application Insights, Cost Management, or ... Good oral and written communication skills Working Conditions: Full Time. 100% Remote. Michigan ...

Senior Data Analyst

Beaverton, OR · On-site

$89K - $112K/yr

... Azure Data Factory, and DAG/Airflow systems • DevOps tasks like deployment pipelines, automation, and QA to production replication • Familiarity with AWS services, including EC2, EMR, S3, RDS ...

This role works closely with business stakeholders, data engineers, and analysts to transform data ... Experience with ETL tools (e.g., Informatica, Talend, Azure Data Factory) and data warehousing (e.g ...

This role works closely with business stakeholders, data engineers, and analysts to transform data ... Experience with ETL tools (e.g., Informatica, Talend, Azure Data Factory) and data warehousing (e.g ...

OR · On-site

$111K/yr

... DevOps activities, including code reviews, testing, alerting, documenting, retrospectives, incident analysis. Work with Azure's core data and analysis services, including Data Factory, Synapse ...

... Storage, Azure Data Factory, Azure Synapse, Cosmos DB, GitHub, Azure DevOps, and CI/CD pipelines * Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract/Load/Transform (ELT) tools ...

Proven expertise in Azure cloud data services (Azure Data Factory, Azure SQL, Power BI, Synapse, etc.). * Strong understanding of data engineering productivity toolchains (CI/CD, DevOps, GitHub, Jira ...

... Storage, Azure Data Factory, Azure Synapse, Cosmos DB, GitHub, Azure DevOps, and CI/CD pipelines * Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract/Load/Transform (ELT) tools ...

As a Cloud Engineer, you will consult and contribute to business process improvements of IT ... Azure Data Factory) * Knowledge of identity management, security controls, compliance and ...

As a Cloud Engineer, you will consult and contribute to business process improvements of IT ... Azure Data Factory) * Knowledge of identity management, security controls, compliance and ...

next page

Showing results 1-20

Full Time Azure Data Factory Developer information

What does a Full Time Azure Data Factory Developer do?

A Full Time Azure Data Factory Developer is responsible for designing, developing, and maintaining data integration solutions using Microsoft Azure Data Factory. They build and manage data pipelines to extract, transform, and load (ETL) data from various sources into cloud-based data storage or analytics platforms. Their role involves collaborating with data engineers, analysts, and other stakeholders to ensure efficient and reliable data workflows. They also optimize data processes to enhance performance, troubleshoot issues, and ensure security and compliance standards are met.

What are the key skills and qualifications needed to thrive as a Full Time Azure Data Factory Developer, and why are they important?

To thrive as a Full Time Azure Data Factory Developer, you need expertise in data integration, ETL processes, SQL, and a strong understanding of Azure cloud services, typically supported by a degree in computer science or a related field. Experience with Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with stakeholders and troubleshooting complex data workflows. These competencies ensure secure, efficient, and scalable data solutions that drive business intelligence and analytics initiatives.

What are some common challenges Full Time Azure Data Factory Developers face when integrating data from multiple sources?

Full Time Azure Data Factory Developers often encounter challenges such as handling varying data formats, ensuring data consistency, and managing real-time versus batch data loads when integrating information from multiple sources. Additionally, troubleshooting pipeline failures and optimizing data flows for performance can require strong problem-solving skills. Collaboration with data architects, database administrators, and business analysts is crucial to address these challenges and ensure that data integration processes align with organizational goals.

What is the difference between Full Time Azure Data Factory Developer vs Data Engineer?

AspectFull Time Azure Data Factory DeveloperData Engineer
Primary FocusDesigning, developing, and maintaining data pipelines using Azure Data FactoryBuilding, optimizing, and managing data infrastructure and pipelines across various platforms
Required SkillsAzure Data Factory, SQL, ETL processes, cloud servicesSQL, Python, Spark, cloud platforms, data modeling
CertificationsAzure Data Engineer Associate, Azure certificationsGoogle Cloud, AWS, or Azure certifications, depending on platform
Work EnvironmentCloud-based data projects within organizations using AzureBroader data infrastructure projects across multiple platforms

While both roles involve data pipeline development, the Full Time Azure Data Factory Developer specializes in Azure Data Factory and cloud-based ETL processes, whereas the Data Engineer has a broader scope, working with various tools and platforms to build comprehensive data solutions.

What are the most commonly searched types of Azure Data Factory Developer jobs in Oregon? The most popular types of Azure Data Factory Developer jobs in Oregon are:
What are popular job titles related to Full Time Azure Data Factory Developer jobs in Oregon? For Full Time Azure Data Factory Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Full Time Azure Data Factory Developer jobs in Oregon look for? The top searched job categories for Full Time Azure Data Factory Developer jobs in Oregon are:
What cities in Oregon are hiring for Full Time Azure Data Factory Developer jobs? Cities in Oregon with the most Full Time Azure Data Factory Developer job openings:
Azure/Python/SQL Developer

Azure/Python/SQL Developer

Avani Technology Solutions, Inc.

Portland, OR • On-site

$52.75 - $72.75/hr

Full-time

Posted 6 days ago


Job description

Job Description:
  • Hands-on experience architecting, developing and testing data integration/ migration solutions.
  • Ability to analyze and trouble shoot issues in Azure environment
  • 2+ years' experience with Python with Spark configuration. Azure data bricks is a plus.
  • Created pipelines, datasets, linked services in Azure Data factory.
  • Knowledge on Integration run times.
  • Read and write data blobs in Azure Data Lake and transformation into Azure SQL Data Warehouse,
  • Experience with Power BI and Azure Analysis Services
  • Experience working with REST APIs
  • Familiarity with any DevOps tools. Ex: Ansible, Puppet or Chef
  • Expert in SQL and query optimization for data platforms such as Azure SQL Data Warehouse, HDInsight
  • Experience working in GIT. Pull request creation, Branching and Cherry picking codes.
  • Expert in database concepts, including normalization, indexing, physical and logical modeling, creation of SQL queries and performance tuning.
  • Solid understanding of data flows, data models for batch and near real time flows.
  • Good oral and written communication skills as the role demands coordination with different stakeholders both in-house and external.