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Seasonal Azure Data Factory Jobs (NOW HIRING)

Software Technology Inc

Sr. Data Engineer | ONSITE

Dallas, TX · On-site

$54.75 - $67.75/hr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions o CI/CD: GitHub, Jenkins, Azure DevOps, Terraform o BI Analytics Tool Stack - Cognos ...

ACI Infotech

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,Azure DevOps:-Boards, Repos, Pipelines, Test Plans * Databases: * Must Have: SQL servers/SQL databases, MongoDB, * BI Platforms:

Kaav Inc.

Sr. Data Engineer | ONSITE

Dallas, TX

$54.75 - $67.75/hr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions o CI/CD: GitHub, Jenkins, Azure DevOps, Terraform o BI Analytics Tool Stack - Cognos ...

SmartIPlace

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Top 3 Must Skills 1. 12+ years hands-on experience building scalable ETL/ELT pipelines using Azure Data Factory (mapping data flows, pipelines, triggers)& Synapse pipelines. 2. Experience building ...

Sarian, Inc.

Azure Data Technical Lead

$65 - $84.75/hr

Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure Databricks, and Azure SQL Database. • Data Architecture: Strong understanding of data modelling, ETL processes, data warehousing ...

NAVA Software Solutions

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps. * Strong exp in SQL Server DB, SQL Server Data Warehouse. * Collaborate with project stakeholders ...

Centstone

Senior Azure Data Architect

Hazlet, NJ · On-site

$65.50 - $85.25/hr

Define and implement data ingestion pipelines using Azure Data Factory, Azure Databricks, Azure Synapse, and related services. * Design scalable and secure data models for clinical, claims, EMR/EHR ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage * Hands-on in Visualisation like Power BI * Implement end-to-end data pipelines using Cosmos Azure Data Factory

1 point system

Data Engineer (Azure / Spark)

New York, NY · Remote

$56.25 - $69.75/hr

Azure Data Factory (ADF): Hands-on experience building and orchestrating ETL pipelines. * HDInsight: Deploying and managing Hadoop/Spark clusters for large-scale analytics. * Azure Data Lake Storage ...

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Showing results 1-20

All JobsSeasonal Azure Data Factory Jobs

Seasonal Azure Data Factory information

What unique challenges might I encounter when working as a Seasonal Azure Data Factory professional, and how can I best prepare for them?

As a Seasonal Azure Data Factory professional, you may face challenges such as quickly onboarding to new projects with tight deadlines and adapting to varied data integration requirements across different teams. The role often involves handling large-scale data migration or transformation tasks during peak periods, which requires a solid understanding of Azure Data Factory pipelines, data mapping, and troubleshooting data flow issues. To prepare, familiarize yourself with ADF best practices, stay updated on Azure platform changes, and be ready to collaborate closely with data engineers, analysts, and IT stakeholders to ensure smooth project delivery.

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

To thrive as a Seasonal Azure Data Factory Specialist, you need expertise in data integration, ETL (Extract, Transform, Load) processes, and experience with cloud-based data solutions, typically supported by a background in computer science or related fields. Familiarity with Azure Data Factory, SQL, and related Microsoft Azure services, along with relevant certifications such as Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with cross-functional teams and interpreting data requirements. These skills ensure efficient data pipeline development, seamless data flow, and the successful delivery of business intelligence solutions on a seasonal or project basis.

What is the difference between Seasonal Azure Data Factory vs Data Engineer?

AspectSeasonal Azure Data FactoryData Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentProject-based, seasonal workloads on cloud platformsFull-time, ongoing data infrastructure development
Industry UsageData integration, ETL workflows during specific seasonsBuilding and maintaining data pipelines across industries

Seasonal Azure Data Factory roles focus on implementing data workflows during specific periods, often requiring cloud and data integration skills. Data Engineers develop and maintain comprehensive data systems, with a broader scope and continuous responsibilities. Both roles involve cloud platforms but differ in scope, duration, and project focus.

What is a Seasonal Azure Data Factory professional?

A Seasonal Azure Data Factory professional is someone who works on a temporary or contract basis to design, implement, and manage data integration solutions using Microsoft's Azure Data Factory platform. Their responsibilities often include creating data pipelines, orchestrating data workflows, and ensuring data is moved, transformed, and loaded efficiently between different sources and destinations in the cloud. Companies typically hire seasonal professionals during high-demand periods, such as large-scale data migrations, end-of-year reporting, or special projects. These professionals are expected to have expertise in Azure cloud services, data integration, and ETL (Extract, Transform, Load) processes. Their work helps organizations handle data more efficiently and make better business decisions.
What cities are hiring for Seasonal Azure Data Factory jobs? Cities with the most Seasonal Azure Data Factory job openings:
What are the most commonly searched types of Azure Data Factory jobs? The most popular types of Azure Data Factory jobs are:
What states have the most Seasonal Azure Data Factory jobs? States with the most job openings for Seasonal Azure Data Factory jobs include:
Seasonal Azure Data Factory jobs near you
Sr. Data Engineer | ONSITE

Sr. Data Engineer | ONSITE

Software Technology Inc

Dallas, TX • On-site

$54.75 - $67.75/hr

Other

Posted 7 days ago

Job description

Job Title

Work Location: ONSITE - Dallas, TX

Interview Process: must be able to in-person interview in Dallas, TX

Key Skills

• 5-7 years in production support

• 5-7 years data analytics experience using SQL

• 5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps

o Scripting: Python, Spark, Unix, SQL

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training

• 5-7 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions

• 5-7 years data analytics experience using SQL

• 5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI

• Combination of development, administration & support experience in several of the following tools/platforms required:

o Scripting: Python, Spark, Unix, SQL

o Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus

o Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions

o CI/CD: GitHub, Jenkins, Azure DevOps, Terraform

o BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana

o Clear understanding on data warehousing concept

o Data governance and privacy: Informatica Axon and EDC, BigID

o Orchestration: Azure Data Factory, Tivoli

Preferred Qualifications

• 5-7 years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions

• 5-7 years data analytics experience using SQL

• 5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI

• Azure (Data Factory, Azure Functions, ADX, Event Hub, ASA) experience

• Airline industry experience

Skills, Licenses & Certifications

• Expertise with the Azure Technology stack for data management, data ingestion, capture, processing and curation

• Expertise in providing practical direction within the Azure Native cloud services

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