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Full Stack Azure Data Engineer-11910-Remote Job Opening In Vienna – Now Hiring Shuvel Digital


Job description

Purpose

In Digital, we develop innovative member and team member experiences that leverage the latest technologies in open source and the Cloud.

Digital Information Management (DIM) is a team of engineers committed to championing a data- driven decision-making culture and meets the business demand for timely insight-focused analytics and information delivery.

You will be working with all levels of technology from backend data processing technologies (Databricks/Apache Spark) to other Cloud computing technologies / Azure Data Platform.

You should be a strong analytical thinker, detail-oriented and love working with data with a strong background in data engineering and application development.

Must be a hand-on technologist passionate about learning new technologies and help improve the ways we can better leverage Advanced Analytics and Machine Learning.

Responsibilities


+ Build end-to-end direct capabilities.

+ Create and maintain optimal data pipeline architecture.

+ Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.

+ Use analytics for capitalizing on the data for making decisions and achieving better outcomes for the business.

+ Derive insights to differentiate member and team member experiences.

+ Collaborate with cross-functional teams.

+ Analyze and define with product teams the data migration and data integration strategies.

+ Apply experience in analytics, data visualization and modeling to find solutions for a variety of business and technical problems.

+ Querying and analyzing small and large data sets to discover patterns and deliver meaningful insights.

+ Integrate source systems with information management solutions and target systems for automated migration processes.

+ Create proof-of-concepts to demonstrate viability of solutions under consideration.


Qualifications


+ Strong hands-on experience leading design thinking as well as the ability to translate ideas to clearly articulate technical solutions.

+ Bachelor's degree in computer science, information systems, or other technology-related field or equivalent number of years of experience.

+ Advanced hands-on experience implementing and supporting large scale data processing pipelines and migrations using technologies (eg.

Azure Services, Python programming)

+ Significant hands-on experience guiding technical teams as a mentor while leading collaboration with multiple teams across the organization.

+ Significant hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure SQL, and other data sources.

+ Significant hands-on experience designing and implementing reusable frameworks using Apache Spark (PySpark preferred or Java/Scala)

+ Solid foundation in data structures, algorithms, design patterns and strong analytical and problem-solving skills.

+ Experience with any of the following Analytics and Information Management competencies: Data Management and Architecture, Performance Management, Information Delivery and Advanced Analytics Posting Description – Digital Data Engineer


Desired

Proficiency in collaborative coding practices, such as pair programming, and ability to thrive in a team-oriented environment

The following certifications:


+ Microsoft Certified Azure Data Engineer

+ Microsoft Certified Azure Solutions Architect

+ Databricks Certified Associate Developer for Apache 2.4/3.0


Required Skill Profession

Other General


  • Job Details

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Unlock Your Full Stack Potential: Insight & Career Growth Guide


Real-time Full Stack Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Full Stack in Vienna, United States, highlighting market share and opportunities for professionals in Full Stack roles.

78531 Jobs in United States
78531
26 Jobs in Vienna
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Download Full Stack Jobs Trends in Vienna and United States

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Shuvel Digital adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Full Stack Azure Data Engineer 11910 Remote Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Vienna. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Full Stack Azure Data Engineer 11910 Remote?

Key qualifications for Full Stack Azure Data Engineer 11910 Remote typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Full Stack Azure Data Engineer 11910 Remote Job Success

Shuvel Digital interview tips for Full Stack Azure Data Engineer 11910 Remote

Here are some tips to help you prepare for and ace your Full Stack Azure Data Engineer 11910 Remote job interview:

Before the Interview:

Research: Learn about the Shuvel Digital's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Full Stack Azure Data Engineer 11910 Remote interview at Shuvel Digital, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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