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Data Engineer

We are looking for a talented Data Engineer to join a cutting-edge project in the green energy sector. This long-term opportunity offers the chance to work on a highly impactful initiative. If you're passionate about the green energy industry and have the skills to drive data solutions, we'd love to hear from you.

Requirements:

  • Proven experience with REST APIs, including working with custom APIs and data extraction
  • Expertise in Databricks, Python, SQL, and Data Factory
  • Familiarity with Tableau is a plus
  • 2-3 years of hands-on experience in data engineering or related fields
  • Strong proficiency in English communication skills (written and spoken)

Responsibilities:

  • Work with REST APIs to integrate and pull data from various custom APIs
  • Design, develop, and maintain data pipelines using Databricks, Python, SQL, and Data Factory
  • Collaborate with cross-functional teams to understand data requirements and provide data solutions
  • Ensure high-quality, scalable, and efficient data models and processes
  • Support the integration of Tableau for data visualization and reporting (if applicable)
  • Troubleshoot and optimize data processing and storage systems
  • Ensure data security, accuracy, and reliability across all pipelines and systems

Benefits:

  • Ability to work remotely;
  • Help and support from our caring HR team;
  • The exchange of experience and work with talented colleagues;
  • Last but not least — valuable compensation for your efforts.
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What You Should Know About Data Engineer, Globaldev Group

Join a dynamic team as a Data Engineer at our innovative company, where you'll be diving into the exciting world of green energy! We’re on a mission to create impactful data solutions that drive sustainable practices, and we're looking for someone who shares our passion. In this role, you'll utilize your expertise in REST APIs, Databricks, Python, SQL, and Data Factory to design and maintain efficient data pipelines. You'll collaborate with a talented group of professionals, ensuring that we harness the full potential of our data assets while maintaining data integrity and security. With 2-3 years of experience under your belt and a knack for problem-solving, you'll help us turn data into actionable insights. Even if you're not yet a Tableau expert, familiarity is a plus! We offer the flexibility of remote work and the support of our dedicated HR team to ensure you thrive in this long-term opportunity. If you're eager to contribute to a project that makes a difference in the green energy sector, we can't wait to meet you!

Frequently Asked Questions (FAQs) for Data Engineer Role at Globaldev Group
What responsibilities does a Data Engineer at our company have?

As a Data Engineer at our company, you will be responsible for designing, developing, and maintaining data pipelines using Databricks, Python, SQL, and Data Factory. You will integrate and pull data from various custom REST APIs, ensuring high-quality and efficient data models. Additionally, you'll collaborate with cross-functional teams to understand data requirements, support data visualization efforts with Tableau if applicable, and troubleshoot any data processing issues.

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What qualifications do I need to become a Data Engineer at your company?

To qualify for the Data Engineer position at our company, you should have 2-3 years of experience in data engineering or a related field. A strong background in REST APIs, Databricks, Python, SQL, and Data Factory is essential. Excellent English communication skills, both written and spoken, are required to collaborate effectively with team members and stakeholders. Familiarity with tools like Tableau is an added benefit.

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What can I expect from the work environment as a Data Engineer at your company?

Working as a Data Engineer at our company offers a flexible remote work environment, allowing you to balance your professional and personal life effectively. You'll be part of a supportive team that values collaboration and knowledge exchange, where you can work alongside talented colleagues who are equally passionate about green energy and data solutions.

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How does your company support data security and accuracy for Data Engineers?

At our company, we place a strong emphasis on data security and accuracy. As a Data Engineer, you will implement best practices to ensure the reliability of all data pipelines and systems. You'll be involved in troubleshooting and optimizing data processing and storage systems while adhering to data governance policies that protect sensitive information.

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What benefits does your company offer to Data Engineers?

Our company offers valuable benefits to Data Engineers, including the ability to work remotely, competitive compensation for your efforts, and ongoing support from our dedicated HR team. You'll have the chance to collaborate with skilled professionals in a stimulating environment, fostering your career growth while contributing to meaningful projects in the green energy sector.

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Common Interview Questions for Data Engineer
Can you describe your experience with REST APIs in your previous Data Engineer roles?

When answering this question, focus on specific projects where you utilized REST APIs. Discuss the types of APIs you worked with, the data extraction processes you implemented, and how these initiatives added value to your previous teams. Be sure to highlight any challenges you faced and how you overcame them.

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How do you ensure data quality in your engineering processes?

To respond effectively, explain your methodology for maintaining data quality. Discuss your experience with validation checks, data cleaning, and monitoring data accuracy throughout the pipeline. You can also highlight tools or techniques you use to automate these processes and ensure ongoing reliability.

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What strategies do you employ for optimizing data pipelines?

Talk about your approach to pipeline optimization. This may include techniques such as code efficiency, utilizing caching strategies, or choosing the right data storage solutions. Provide examples of the impact your optimizations had on performance and efficiency.

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How do you stay updated with the latest trends in data engineering?

When responding, mention online resources, blogs, or communities you follow that are related to data engineering. You can also talk about your participation in webinars, conferences, or courses that keep you informed about the latest technologies and best practices.

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Can you explain how you have collaborated with cross-functional teams in your previous roles?

In your answer, provide examples that show your experience in working with teams beyond data engineering, such as business analysts, product managers, and developers. Discuss how you communicated data requirements effectively and how this collaboration led to successful project outcomes.

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What experience do you have with data visualization tools like Tableau?

If you have experience, describe specific projects where you used Tableau or similar tools. Explain how you leveraged data visualizations to communicate insights, support decision-making, or track performance metrics. If you're less experienced, express your willingness to learn and your understanding of the importance of data visualization.

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Describe a challenging data problem you faced and how you solved it.

Use this opportunity to demonstrate your problem-solving skills. Clearly explain the challenge, the steps you took to analyze the issue, and the solution you implemented. Highlight the skills and tools you used to arrive at the resolution.

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How do you handle tight deadlines and pressure in your work as a Data Engineer?

Discuss your time management techniques, prioritization methods, and any tools you use to manage your workload effectively. Share an example of a situation where you successfully met a tight deadline, emphasizing your ability to stay calm and focused under pressure.

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What technologies are you most proficient in, and how do they relate to the Data Engineer role?

In your response, mention the main technologies relevant to the Data Engineer role, such as Databricks, Python, SQL, and Data Factory. Discuss your experience with each and how you applied them in previous projects to deliver results that align with business objectives.

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Why do you want to work in the green energy sector as a Data Engineer?

Articulate your passion for the green energy sector and how data engineering can play a vital role in sustainable initiatives. You may want to share personal experiences or motivations that connect you to the mission of advancing green energy through data-driven solutions.

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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
March 16, 2025

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