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Job Description
<div> <strong> Company Description <br/> <br/> </strong> AFRY provides engineering, design, digital and advisory services. We are 19 000 devoted experts in industry, energy and infrastructure sectors, creating impact for generations to come. AFRY has Nordic roots with a global reach. Join us in accelerating the transition towards a sustainable society. <br/> <br/> <strong> Job Description <br/> <br/> </strong> With the right data, there is tremendous potential to uncover previously untapped business value, such as increased productivity or sustainability. To unlock that value, data first needs to be collected, stored, processed, and presented. At AFRY, we are helping our clients on this journey toward becoming data-driven organizations, and you will play a key role in this transformation. <br/> <br/> We are currently searching for our next colleague: a skilled Data Engineer / Data Warehouse expert who is passionate about designing, building, and maintaining data pipelines and data warehouses. You will work on both short-term and large-scale projects for our clients. <br/> <br/> You will join our outstanding team of Data Scientists, Data Engineers, and Software Developers, collaborating on a wide variety of projects and with diverse variety of customers. At AFRY, you will enjoy stable employment with collectively agreed terms, excellent benefits, and an organization that genuinely cares about your well-being. <br/> <br/> <strong> Qualifications <br/> <br/> </strong> We would like you to have at least a bachelor’s degree in Computer Science, Mathematics, Physics or equivalent fields, as well as at least 3-4 years of experience in the area. You need to live permanently in Gothenburg, Sweden. <br/> <br/> We also see that you have most of these qualifications: <br/> <br/> <ul> <li> Experience in working with Python, Java, C# or other similar object-oriented languages </li> <li> Cloud platforms like Azure or AWS, and meritous if you have well Snowflake, Databricks or similar </li> <li> Databases, SQL and NoSQL </li> <li> Data Warehousing technologies like Spark, Hadoop or Apache Kafka </li> <li> ETL tools like Informatica or Apache Nifi </li> <li> You speak/write in Swedish and English, since it is required in contact with colleagues and customers. <br/> <br/> <br/> </li> </ul> We take your personal qualities in great consideration. <em> Our values: </em> <em> Brave, Devoted, Team Player </em> , characterize how we see ourselves. Therefore, we see you have a good ability to collaborate in a team but also like contribute with your competence on an individual level in the projects you handle. <br/> <br/> <strong> Additional Information <br/> <br/> </strong> Interviews will be held in mid / late August , but please submit your application asap if you think sounds like a fun opportunity. If you have any questions about the position, you are welcome to contact: <br/> <br/> Ulrika Stålhammar – Section Manager <br/> <br/> ulrika.stalhammar@afry.com <br/> <br/> <em> Please accept that we do not accept applications via email. <br/> <br/> </em> <em> Happy Summer! <br/> <br/> </em> <em> At AFRY, we engineer change in everything we do. Change happens when brave ideas come together. When we collaborate, innovate technology, and embrace challenging points of view. That’s how we're making future. We are actively looking for qualified candidates to join our inclusive and diverse teams across the globe. Join us in accelerating the transition towards a sustainable future. </em> </div>
AI Powered Job Insights
AFRY in Gothenburg is on the lookout for a talented Data Engineer to join their dynamic team! This role is pivotal for those looking to make a real impact in helping organizations harness the power of data to drive business value and sustainability. 📍 Location: Gothenburg, Västra Götaland County, Sweden 💼 Position: Data Engineer 📅 Date Posted: 2024-07-19 Role Summary: - They are searching for a Data Engineer / Data Warehouse expert. - The main responsibility includes designing, building, and maintaining data pipelines and data warehouses. - This position involves working on various projects aimed at helping clients become data-driven organizations. What They'll Do: - Collaborate with a team of Data Scientists, Data Engineers, and Software Developers. - Engage in both short-term and large-scale projects across diverse industry sectors. - Contribute to the organization’s mission of accelerating the transition towards a sustainable society. What's Needed: - A bachelor's degree in Computer Science, Mathematics, Physics, or equivalent fields. - 3-4 years of experience in data engineering. - Proficiency in programming languages such as Python, Java, or C#. - Familiarity with cloud platforms like Azure or AWS, and knowledge of Snowflake or Databricks is a plus. - Experience with SQL and NoSQL databases, as well as Data Warehousing technologies like Spark, Hadoop, and Apache Kafka. - ETL tool experience, especially with Informatica or Apache Nifi. - Fluency in both Swedish and English for communication with colleagues and clients. Additional Information: - Interviews will take place in mid to late August; early application is encouraged. - Interested candidates can reach out to Ulrika Stålhammar, Section Manager, via the provided email for inquiries (applications should not be sent via email).
Top Interview Questions
A: I have designed and implemented several data pipelines using Apache Spark and AWS Glue. In one project, I ingested large datasets from various sources, cleaned and transformed the data using Spark jobs, and stored the results in a Snowflake data warehouse. I focused on optimizing the pipeline for performance and reliability, which resulted in a 50% decrease in processing time.
A: Ensuring data quality is crucial in ETL processes. I implement validation checks at various stages of the ETL pipeline. For instance, during the extraction phase, I validate data against predefined schemas. I also use tools like Apache Nifi to automate workflow monitoring and trigger alerts for any anomalies, ensuring data integrity throughout the process.
A: To optimize SQL queries, I focus on indexing key columns, minimizing the use of complex joins, and leveraging partitioning strategies when applicable. For instance, by creating indexes on frequently queried columns, I was able to reduce query execution time by 40% in one project. I also use query execution plans to understand performance bottlenecks and iteratively refine my queries.
A: In a recent project, we were tasked with ingesting and processing real-time sensor data from multiple locations. The challenge was handling high data velocity while ensuring data consistency. I implemented a solution using Apache Kafka for streaming, which allowed us to buffer incoming data. We also set up a robust schema management process to ensure data format consistency. This architecture enabled us to successfully scale and process the data in real-time.
A: I stay updated by regularly attending industry conferences and webinars, participating in online courses, and reading technical blogs. I also contribute to open-source projects to understand emerging tools better. Recently, I completed a course on advanced data warehousing techniques, which helped me implement more efficient structures in my current projects.
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Salary Benefits
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