Data Engineer at Sebratec in Gothenburg, Västra Götaland County, Sweden

Apply for the Data Engineer position at Sebratec in Gothenburg, Västra Götaland County, Sweden. Find the best jobs for you effortlessly with InJob.AI, your ultimate solution for job search. Discover top job opportunities and streamline your job search process.

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Job Description

<div>
 Sebratec exists to help industries solve technology-based tasks and accomplish complex projects. We offer real intelligence in the form of highly skilled engineers and developers to make projects come alive and thrive. If you share our passion for great technology, then we&rsquo;d love to get to know you.
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 Let's Work Together
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 Are you a skilled Data Engineer with expertise in data analysis, Python, and SQL? Do you thrive in an environment that challenges your technical prowess and encourages continuous learning? If so, Sebratec might be the perfect place for you.
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 Your Role
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 As a Data Engineer at Sebratec, you will:
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   Design, develop, and maintain scalable data pipelines and ETL processes.
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   Utilize Python and SQL to process, clean, and analyze large datasets.
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   Collaborate with data scientists and analysts to deliver actionable insights.
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   Optimize and maintain database systems and data storage solutions.
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   Implement data quality and validation checks to ensure data integrity.
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   Stay current with industry trends and incorporate best practices in data engineering.
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 Technical Requirements
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 To succeed in this role, you should have:
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   Proven experience in data engineering and data analysis.
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   Proficiency in Python and SQL.
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   Experience with ETL tools and data pipeline frameworks.
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   Strong knowledge of database systems (e.g., MySQL, PostgreSQL, MongoDB).
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   Familiarity with big data technologies (e.g., Hadoop, Spark).
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   Experience with cloud data platforms (e.g., AWS Redshift, Google BigQuery).
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   Understanding of data warehousing and data modeling concepts.
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   Strong analytical and problem-solving skills.
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   Excellent communication and collaboration skills.
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  What You Can Expect From Sebratec
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   Fixed monthly salary, so you&rsquo;re covered even if you&rsquo;re between projects
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   Pension, regulations and insurances that play by the book (the collective agreement book, that is)
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   Monthly events and get-togethers
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   Career development and opportunities at industry-leading partners.
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   Great benefits that keep your work-life balance in check
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   Generous extension- and referral bonus programs
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  Office Tour
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 Take a tour of our Gothenburg HQ on the West Coast of Sweden and you&rsquo;ll see why Sebratecers from across the globe have decided to call it home.
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AI Powered Job Insights

Exciting opportunity for a Data Engineer at Sebratec! They are looking for a talented individual to join their team in Gothenburg, Sweden, and play a key role in shaping data-driven solutions. If you are passionate about technology and enjoy tackling complex projects, this position may be the perfect fit.

📍 Location: Gothenburg, Västra Götaland County, Sweden  
💼 Position: Data Engineer  
📅 Date Posted: 2024-06-26  

Role Summary:  
- Design, develop, and maintain data pipelines and ETL processes.  
- Utilize Python and SQL for data processing, cleaning, and analysis.  
- Collaborate with data scientists and analysts to generate insights.  
- Optimize database systems and implement data validation checks.  

What You'll Do:  
- Build scalable data solutions to manage large datasets.  
- Stay updated with industry trends and best practices in data engineering.  

What's Needed:  
- Proven experience in data engineering and analysis.  
- Proficiency in Python and SQL, with familiarity in ETL tools.  
- Strong knowledge of database systems like MySQL, PostgreSQL, and MongoDB.  
- Experience with big data technologies and cloud platforms (e.g., AWS Redshift, Google BigQuery).  
- Good understanding of data warehousing concepts and modeling.  
- Excellent analytical, problem-solving, and communication skills.  

What They Offer:  
- Fixed monthly salary, ensuring coverage between projects.  
- Pension and insurance benefits in accordance with collective agreements.  
- Monthly events and opportunities for career development with industry leaders.  
- Employee-friendly benefits promoting work-life balance, along with referral bonuses.

Top Interview Questions

  • Q: Can you describe your experience with ETL processes and the tools you've used?

    A: In my previous roles, I designed and implemented various ETL processes using tools like Apache NiFi and Talend. I focused on extracting data from diverse sources, transforming it to meet business requirements, and loading it into our data warehouse. I ensured data quality by implementing validation checks at each stage and optimized the processes for better performance by scheduling them during off-peak hours.

  • Q: How do you ensure data integrity and quality in your data engineering projects?

    A: To ensure data integrity, I implement data validation checks at multiple points during the ETL process. I use unit tests to verify that the transformations yield the expected results. Additionally, I establish data profiling and monitoring practices to identify and resolve data quality issues proactively, ensuring the datasets used for analysis are accurate and reliable.

  • Q: Describe a challenging data analysis problem you encountered and how you solved it.

    A: In a recent project, I faced the challenge of processing a large volume of unstructured data from various sources. I utilized Python's Pandas library to clean and structure the data, employing regex for text extraction. I then used SQL to aggregate the cleaned data for further analysis. This approach not only streamlined the process but also provided valuable insights that informed our strategic decisions.

  • Q: What strategies do you use to optimize database performance?

    A: To optimize database performance, I regularly analyze query execution plans and identify bottlenecks. I implement indexing strategies to speed up data retrieval and periodically review and optimize database schemas. Additionally, I leverage caching mechanisms for frequently accessed data and ensure that my SQL queries are efficient, limiting the data processed wherever possible.

  • Q: How do you stay current with the latest trends and technologies in data engineering?

    A: I stay current by following industry blogs and participating in online communities such as Data Engineering podcasts and forums. I also attend webinars and local meetups to network with other professionals. I dedicate time each month to experiment with emerging tools and technologies, applying them in personal projects to deepen my understanding.

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Apply for the Data Engineer position at Sebratec in Gothenburg, Västra Götaland County, Sweden using https://www.linkedin.com/jobs/view/3960777865

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