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Azure Data Engineer

DescriptionAzure Data EngineerLocation: Remote (Golden, CO Preferred)Job DescriptionThis is a cross functional position with significant responsibility and opportunity to shape the future direction of our team. Candidate will be required to focus on data development tasks to collect, store, validate and process large datasets in the Azure environment.This position will be part of a analytical team working on quantitative software products and services so experience working in a product development environment is desired. Successful candidates will be very analytical with a high attention to detail in a quantitative environment to ensure a stable, repeatable, and accurate production data stream. Successful candidates will also enjoy an independent work environment where they can take a high level of ownership of their accomplishments.What You Will Be Doing• Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance.• Collaborating with data scientists, business analysts, and other stakeholders to understand data requirements and implement appropriate data solutions.• Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks.• Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information.• Keeping abreast of the latest Azure features and technologies to enhance data engineering processes and capabilities.• Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards.What We Need You To Have (minimum Qualifications)• Bachelor's Degree in (IT, Computer Sciences, Information Systems, Business or related fields) (candidates can substitute one year of experience for each year of education)• 5+ years of professional database solution development using Azure data services and frameworks to store, transform, and enhance data for analysis• 3+ years of experience in designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.• 3+ years of experience managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse• 3+ years of experience ensuring data quality and consistency through data cleaning, transformation, and integration processes.• 5+ years of experience working within the full lifecycle SDLC as part of a software product and operations team environmentWhat We Would Like You To Have• Superior organizational and end to end delivery skills in an Agile environment• Proven ability within the database performance and query optimization arena.• Expertise in Data Analysis, Data Profiling, and SQL Tuning• Ability to work in a distributed team environment• Experience working on quantitative software products• Excellent listening and interpersonal communication skills• Highly self-motivated and self-directed to solve complex technical problems• Ability to exercise independent judgment• Builds and maintains relationships with stakeholders to ensure buy-in and adoption of technology solutions• Ability to effectively prioritize and execute tasks• Has deep understanding of data architecture & data modeling best practices, and guidelines for different data and analytic platforms including scrum and agile procedures.Working at ICFICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are an equal opportunity employer, committed to hiring regardless of any protected characteristic, such as race, ethnicity, national origin, color, sex, gender identity/expression, sexual orientation, religion, age, disability status, or military/veteran status. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO & AA policy.Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more here: Requesting an Accommodation for the ICF interview process.Read more about workplace discrimination rights, the Pay Transparency Statement, or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.The pay range for this position based on full-time employment is:$84,533.00 - $143,706.00Nationwide Remote Office (US99)
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What You Should Know About Azure Data Engineer, ICF

As an Azure Data Engineer at ICF, you'll find yourself at the heart of our data-driven initiatives, based remotely or in beautiful Golden, CO! This role is all about data development, where you'll collect, store, validate, and process voluminous datasets in the Azure environment. You'll be part of a dynamic analytical team, contributing to innovative quantitative software products and services. If you love diving deep into data, troubleshooting issues, and collaborating with data scientists and analysts, this job is tailored for you. Your expertise in automating data pipelines will shine as you streamline processes, and your commitment to data security will ensure sensitive information is always protected. We appreciate individual ownership, so you'll enjoy the autonomy that comes with this position. With a focus on continuously improving our data engineering processes and keeping up with Azure's latest features, you'll have the chance to help shape our team's future. So, if you're analytical, detail-oriented, and thrive in a fast-paced environment, dive into this opportunity where your skills will be valued and rewarded!

Frequently Asked Questions (FAQs) for Azure Data Engineer Role at ICF
What are the primary responsibilities of an Azure Data Engineer at ICF?

An Azure Data Engineer at ICF primarily focuses on monitoring and troubleshooting data-related issues within the Azure environment, ensuring high availability and performance. Additionally, they'll collaborate closely with data scientists and business analysts to implement effective data solutions. Automating data pipelines, ensuring data security, and staying updated with Azure's latest features are also key responsibilities in this role.

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What qualifications are necessary to apply for the Azure Data Engineer position at ICF?

To apply for the Azure Data Engineer position at ICF, candidates must have a Bachelor's Degree in IT, Computer Sciences, Information Systems, or related fields, along with a minimum of 5 years of professional database solution development experience in Azure data services. Significant experience in creating scalable data processing pipelines using Azure Data Factory and ensuring data quality is also essential.

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How important is teamwork for the Azure Data Engineer role at ICF?

Teamwork is incredibly important for the Azure Data Engineer role at ICF. You’ll be collaborating with various stakeholders, including data scientists and business analysts, to understand data requirements. Your ability to build and maintain relationships will be crucial to ensuring buy-in and adoption of technology solutions within the team.

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What tools or technologies does an Azure Data Engineer at ICF typically work with?

An Azure Data Engineer at ICF typically works with a range of Azure technologies, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure SQL Data Warehouse. Proficiency in data analysis and SQL tuning is also essential for the role, as it aids in optimizing data storage and ensuring high data quality.

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What kind of work environment can an Azure Data Engineer at ICF expect?

ICF offers a flexible and inclusive work environment for Azure Data Engineers. You'll enjoy an independent work setup that allows you to take full ownership of your tasks while also benefiting from collaboration with a cross-functional team. The environment promotes personal growth and empowers employees to tackle complex technical challenges effectively.

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Common Interview Questions for Azure Data Engineer
Can you describe your experience with Azure Data services?

In your answer, detail your specific experiences with Azure Data services like Azure Data Factory and Azure Databricks. Provide examples of projects where you implemented these services and discuss how they improved data workflows or solved issues related to data handling.

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How do you ensure data quality and consistency?

Illustrate your data cleaning and transformation strategies. Discuss frameworks or methods you implement to maintain data integrity, including automated processes or manual checks. Share examples where your approach significantly improved data quality in a past position.

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What steps do you take to automate data pipelines?

Discuss your approach to automating data pipelines, including tools you’ve used, such as Azure Data Factory. Explain the impact of these automations on efficiency and data flow within projects you’ve managed.

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How familiar are you with SQL tuning?

In your response, talk about your experience optimizing queries for performance. Provide specific examples of how your SQL tuning efforts improved the speed or efficiency of data retrieval and how you identified the issues before implementing changes.

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How do you handle troubleshooting data-related issues?

Describe your troubleshooting process, detailing steps you take when issues arise. Provide examples where you successfully diagnosed data problems and the strategies you employed to resolve them while minimizing downtime.

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What role does collaboration play in your approach as an Azure Data Engineer?

Emphasize the importance of teamwork in your projects. Offer examples of how you’ve worked with data scientists or business analysts to achieve project goals. Highlight your communication skills in technical and non-technical discussions.

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Can you explain your experience with data security measures?

Discuss the various data security measures you've implemented previously, including encryption and access controls. Share specific scenarios where these security protocols were vital to expanding data protection within a project.

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How do you keep up with the latest Azure technologies?

In your answer, showcase how you stay informed about the latest trends and updates in Azure. Whether it's through online courses, webinars, or participation in professional communities, emphasize your proactive approach to continual learning.

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Describe your experience working in an Agile environment.

Share your experiences with Agile methodologies, providing specific examples of how agile practices benefited your work as an Azure Data Engineer. Discuss your previous role within Agile teams and how you prioritized tasks effectively.

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What are your thoughts on data architecture and modeling best practices?

Talk about your understanding of data architecture principles and modeling techniques. Provide examples from your past experiences where adhering to best practices significantly enhanced project outcomes or data usability.

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ICF is a global advisory and technology services company with approximately 9,000 employees in industries across the public and private sectors. For over 50 years, we’ve been helping clients take on some of the world’s most complex challenges to p...

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Full-time, remote
DATE POSTED
December 7, 2024

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