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Mid Big Data Engineer (Scala) - Krakow Hybrid

Capco Poland is a global technology and management consultancy specializing in digital transformation for the financial services industry. They seek a skilled Mid Big Data Engineer passionate about helping clients succeed.

Skills

  • Scala programming
  • Apache Spark
  • Hadoop
  • SQL
  • Agile frameworks

Responsibilities

  • Design, develop and maintain data pipelines using Scala, Spark, Hadoop, and SQL
  • Collaborate with cross-functional teams to understand data requirements
  • Optimize Spark jobs for performance and reliability
  • Ensure data quality and security
  • Troubleshoot data pipeline issues
  • Document specifications and guidelines

Education

  • University degree in computer science, mathematics, or natural sciences

Benefits

  • Employment contract options
  • Remote work possibility
  • Employee benefits packages
  • Access to business courses
  • IT equipment provided
To read the complete job description, please click on the ‘Apply’ button
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What You Should Know About Mid Big Data Engineer (Scala) - Krakow Hybrid, Capco

Joining Capco as a Mid Big Data Engineer (Scala) in beautiful Krakow means diving into a vibrant culture of innovation and collaboration. At Capco, we believe in creating an inclusive working environment where individuality is celebrated, and we’re eager to see what makes you unique. This hybrid role allows you to collaborate in our Krakow office for 2 days a week, while enjoying flexibility in your work schedule. As a pivotal member of our team, you’ll design, implement, and maintain robust data pipelines, leveraging your expertise in Scala, Spark, and Hadoop for both batch and streaming data processing. You'll collaborate with cross-functional teams to craft solutions that meet our clients’ evolving business needs and optimize workflows for peak performance. Your role will ensure data integrity and security while troubleshooting any issues that arise, thus minimizing downtime. At Capco, continuous learning is part of our DNA. Stay updated on industry trends, as we encourage your professional development. Besides the technical aspects, a touch of humor and a positive attitude will fit well with our dynamic work culture. Enjoy employee benefits, access to an extensive learning platform, and the opportunity to participate in charity events. You’ll be part of a team prioritizing innovation in the financial services space and playing a crucial role in our Polish business growth. If you’re passionate about big data processing and ready to take your skills to the next level, we’d love to hear from you!

Frequently Asked Questions (FAQs) for Mid Big Data Engineer (Scala) - Krakow Hybrid Role at Capco
What are the key responsibilities of a Mid Big Data Engineer at Capco Poland?

As a Mid Big Data Engineer at Capco Poland, your primary responsibilities will include designing, developing, and maintaining robust data pipelines using technologies like Scala, Spark, and Hadoop. You will collaborate with cross-functional teams to understand data requirements, optimize workflows for performance, ensure data integrity, and resolve any pipeline issues that could impact business operations.

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What qualifications do I need to apply for the Mid Big Data Engineer position at Capco Poland?

To be a successful candidate for the Mid Big Data Engineer role at Capco Poland, you should have a university degree in computer science, mathematics, or a related field, along with 3-4 years of relevant experience as a Data Engineer. Proficiency in SQL, Scala, and experience with Spark and Hadoop are essential to excel in this position.

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What technology stack do Mid Big Data Engineers work with at Capco Poland?

Mid Big Data Engineers at Capco Poland primarily utilize Scala, OOP, Spark, SQL, and Hadoop. Familiarity with additional technologies like GCP, Kafka, and CI/CD can be advantageous, providing you with the tools to manage large-scale data processing efficiently.

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How does Capco Poland support diversity and inclusion in the workplace?

Capco Poland is deeply committed to fostering a diverse and inclusive work environment. We celebrate individuality and aim to recruit a wide range of talent, ensuring everyone’s unique perspectives contribute to our success. Our hiring processes are adaptable to accommodate various needs, promoting an equitable experience for all candidates.

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What benefits can I expect as a Mid Big Data Engineer at Capco Poland?

As a Mid Big Data Engineer at Capco Poland, you can look forward to a generous benefits package, which includes options for remote work, private medical care, life insurance, and access to an extensive range of business courses. Additionally, you’ll have opportunities for ongoing learning, participation in charitable events, and a chance to work in a non-hierarchical environment.

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What does the recruitment process look like for the Mid Big Data Engineer role at Capco Poland?

The recruitment process for the Mid Big Data Engineer role at Capco Poland typically includes an initial screening call with a Recruiter, followed by a technical interview and a client interview. Feedback or an offer will then be provided based on your performance throughout the selection stages.

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What work culture can I expect at Capco Poland?

At Capco Poland, you can expect a flat, non-hierarchical work culture that champions innovation and encourages creativity. We foster an atmosphere where collaboration thrives, and you’ll have opportunities to work directly with senior partners and clients, all while enjoying a supportive and positive team environment.

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Common Interview Questions for Mid Big Data Engineer (Scala) - Krakow Hybrid
Can you explain your experience with Scala in big data projects?

When addressing this question, be specific about the projects you've tackled using Scala, highlighting your role in developing scalable data pipelines and how you optimized performance. Discuss the challenges you faced and how you overcame them, emphasizing your problem-solving skills and any innovative solutions you implemented.

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How do you ensure data quality and integrity in your data pipelines?

To effectively answer this question, explain the methodologies and tools you use to monitor data quality throughout the pipeline lifecycle. Discuss techniques like data validation, regular testing, and incorporating feedback loops to maintain high standards of data integrity, showcasing your attention to detail.

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Describe a challenging situation you faced as a Data Engineer and how you resolved it.

When responding to this question, start with a specific challenge, such as a critical data outage or unexpected performance issue. Detail the steps you took to diagnose the problem, the collaborative efforts involved, and the ultimate solution you implemented, demonstrating your analytical capabilities and teamwork.

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What strategies do you use to optimize Spark jobs?

In your response, highlight best practices like caching, partitioning, and using the right data formats. Include examples from your experience where you applied these strategies successfully, focusing on the impact of your optimizations on performance metrics and resource usage.

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How do you stay current with big data technologies and industry trends?

To answer this question effectively, discuss the resources you utilize, such as online courses, webinars, conferences, and professional networks. Highlight any relevant certifications you've pursued and how they benefit your work, demonstrating your commitment to continuous learning and growth in the big data field.

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Can you discuss your experience with cloud platforms like GCP or AWS?

In your response, detail your experience using cloud services for data storage, processing, and analytics. Share specific projects where you've utilized cloud platforms, the tools involved, and the advantages those platforms provided in terms of scalability and efficiency.

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What approach do you take to document your data processing workflows?

When discussing documentation, emphasize the importance of clarity and detail. Explain how you create user-friendly design specifications and operational guidelines, potentially referencing specific documentation tools or templates you've used, to ensure team members can easily understand and follow your workflows.

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How do you handle data confidentiality and security in your projects?

In your answer, highlight the various practices you follow to safeguard sensitive data, including encryption methods, role-based access controls, and compliance with relevant regulations. Providing examples from past experiences will strengthen your response and showcase your commitment to data security.

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What programming methodologies do you prefer when working on big data projects?

Discuss the programming paradigms you employ, such as Agile or Scrum, and how they enhance your project's success. Share examples illustrating how you adapted these methodologies to suit your team's needs, highlighting their effectiveness in fostering collaboration and responsiveness.

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Why are you interested in working with Capco Poland as a Mid Big Data Engineer?

When answering this question, connect your skills and experiences to Capco's mission of driving digital transformation in financial services. Discuss what excites you about the company culture, values, and the opportunity to work on impactful projects, reinforcing your enthusiasm for the position.

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Capco is a global technology and management consulting firm that specializes in providing consulting for the financial services and energy industries. They have a growing client portfolio comprising of over 100 global organizations worldwide.

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Full-time, hybrid
DATE POSTED
November 27, 2024

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