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Junior Azure Data Factory Developer Jobs in Virginia

Hirekeyz Inc

ETL Data Integration Engineer

Fairfax, VA · On-site

Design and implement ETL pipelines using cloud-native services (e.g., AWS Glue, Azure Data Factory ... Collaborate with data engineers, architects, and business analysts to deliver robust data solutions.

Beyond SOF

Cloud ETL Developer

Richmond, VA · On-site

$50.50 - $66.25/hr

SR ETL Developer The client is seeking a senior ETL developer to ingest/transform and load Data ... Deep knowledge of coding languages, such as Azure Data Factory, Databricks, python, XML, and SQL.

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud * Understanding of data models, large datasets, business/technical ...

Probity Inc.

JR Software Developer

Chantilly, VA · On-site

$65K - $85K/yr

Seeking a highly motivated, self-directed professional to fill a Software Developer role in ... Azure Data Factory. * Experience with containerization technologies (e.g. Docker) * Experience ...

Pwc

Data Engineer - Senior Associate

Richmond, VA

$77K - $202K/yr

... guiding junior team members - Upholding standards in project deliverables - Building and ... Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow - Enhancing Cloud ...

Pwc

Data Engineer - Manager

Richmond, VA

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

InstantServe LLC

Data Warehouse/BI Developer 3

VA · On-site

Data Warehouse/BI Developer 3 Chesterfield, Va. 23236 Onsite Senior Business Intelligence (BI ... Knowledge of Azure Data Services (Data Factory, Synapse Analytics). * Exposure to data governance ...

TLA-LLC

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

Proficiency in programming languages such as Python, Java, or Scala. * Strong experience with ETL/ELT processes and tools (Apache Spark, Airflow, Informatica, Talend, Azure Data Factory, etc.

MARKETview

Jr Data Engineer

Richmond, VA

$70K - $75K/yr

Exposure to Microsoft Azure cloud computing platforms including Azure Data Factory (ADF ... Microsoft developer certifications Why MARKETview Education Partners? The MARKETview team is united ...

TLA-LLC

Data Architect

Mclean, VA

$64.50 - $83/hr

Proficiency in programming languages such as Python, Java, or Scala. * Strong experience with ETL/ELT processes and tools (Apache Spark, Airflow, Informatica, Talend, Azure Data Factory, etc.

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Junior Azure Data Factory Developer information

What does a Junior Azure Data Factory Developer do?

A Junior Azure Data Factory Developer assists in designing, developing, and maintaining data integration solutions using Azure Data Factory (ADF). Their primary role is to build and manage data pipelines that extract, transform, and load (ETL) data from various sources into cloud-based data warehouses or storage solutions. They work closely with senior developers and data engineers to automate data workflows, troubleshoot issues, and ensure data is processed efficiently and securely. Additionally, they may write basic code, monitor pipeline performance, and help document processes as part of a larger data team.

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

AspectJunior Azure Data Factory DeveloperData Engineer
Required CredentialsBasic knowledge of Azure, certifications like Azure Data Engineer Associate helpfulBroader certifications like Azure Data Engineer, AWS, or GCP certifications often preferred
Work EnvironmentFocus on designing and developing data pipelines using Azure Data Factory in cloud environmentsDesigning, building, and maintaining scalable data systems across various platforms and tools
Employer & Industry UsageCommon in companies adopting Azure cloud solutions, especially in data-driven rolesWidespread across industries for managing large-scale data infrastructure

The Junior Azure Data Factory Developer primarily focuses on creating data pipelines within Azure using Data Factory, often as an entry-level role. In contrast, a Data Engineer has a broader scope, working with multiple tools and platforms to build comprehensive data systems. While both roles require knowledge of cloud data solutions, Data Engineers typically possess more advanced certifications and experience, handling complex data architecture tasks across various environments.

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

To thrive as a Junior Azure Data Factory Developer, you need a solid understanding of data integration concepts, ETL processes, and a background in computer science or a related field. Familiarity with Microsoft Azure, especially Azure Data Factory, as well as proficiency in SQL, and knowledge of data storage solutions are typically required, with Azure certifications (like Azure Data Engineer Associate) being advantageous. Strong problem-solving skills, attention to detail, and effective communication help you collaborate within teams and resolve data-related challenges efficiently. These skills and qualifications are crucial for building robust data pipelines, ensuring data quality, and supporting analytics initiatives in cloud-based environments.

What are some common challenges faced by a Junior Azure Data Factory Developer, and how can they be addressed?

Junior Azure Data Factory Developers often encounter challenges such as troubleshooting complex data pipelines, managing data integration from diverse sources, and optimizing performance for large-scale data processing. To address these, it's important to become familiar with Azure's monitoring and debugging tools, maintain clear documentation, and collaborate closely with data engineers and business analysts. Seeking mentorship from senior developers and participating in regular code reviews can also help accelerate learning and build confidence in managing production workloads.
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Junior Azure Data Factory Developer jobs near you

Data Engineer

Texas State Library and Archives Commision

Mclean, VA • On-site

$116K - $139K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer for developing and maintaining ETL solutions to drive clinical
operations, advanced analytics, and machine learning models. This position will work
collaboratively with the technology team to support our clinical, operational, and
finance teams to integrate data from diverse sources for consumption by internal and
external stakeholders
Responsibilities:
• Responsible for the development, testing, maintenance, and optimization of
cloud-native data and ETL solutions.
• Work on small to mid-sized and cross-functional IT and business intelligence
solutions.
• Participate in the workstream planning process including inception,
requirements gathering, technical design, development, testing and delivery of
ETL solutions.
• Collaborate with Analytics & Reporting, Data Science, Machine Learning,
Analytics Engineering, IT Infrastructure, and other Technology teams in
solution design, development, and deployment.
• Practice business guidelines to protect PHI and ensure secure communication
channels for transfer of such data.
• Exercise best practice Agile communication and documentation through
channels like JIRA, Confluence
• Follow DevOps/DataOps best practices throughout software development
lifecycle (SDLC).
Qualifications
• Bachelor's degree in Computer Science, Information Technology, Engineering,
Mathematics, or equivalent.
• 2 - 5 years professional experience in Data Engineering (or similar) role
• Experience in designing and implementing data applications and data
architectures.
• Experience with open-source data frameworks like Spark and/or experience
with cloud data platforms is preferred.
• Healthcare experience in a Payer or Provider/Hospital Organization preferred.
• Experience in Azure data technologies is a bonus (Azure Data Factory,
Synapse, Cosmos DB, Azure SQL).
• Experience with DevOps/DataOps practices is a bonus.
• Experience or familiar with Agile or a similar process.
• Experience in implementing ELT and ETL solutions.
Knowledge, Skills, and Abilities:
• Experience with at least one database/data warehouse solution (e.g., MySQL,
MSSQL, Synapse, Snowflake, RedShift).
• Strong coding proficiency in at least one programming language (preferably
Python)
• Experience using industry standard Python libraries for data exploration,
analysis, and transformation (e.g., Pandas, Numpy, etc.)
• Experience using REST APIs
• Proficient in writing SQL Code for SQL queries, views, stored procedures,
etc.
• Experience working with data housed in file formats including TXT, CSV,
JSON, YAML, Parquet, XLSX
• Problem-solving aptitude and critical thinking skills
• Excellent communication and presentation skills

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