Data Analytics/Data Processing Expert

As a Data Analytics/Data Processing Expert at Capco Poland, your main responsibilities include designing and developing scalable real-time data processing solutions, working with databases, and integrating various data sources using tools like Kafka and REST APIs. You will also contribute to both front-end and back-end development while ensuring high availability and performance of the CAT platform.

To qualify for the Data Analytics/Data Processing Expert role at Capco Poland, candidates should have experience in data streaming tools such as Kafka and Solace queues, proficiency in front-end technologies like React, and a solid understanding of data engineering workflows. Strong communication skills and familiarity with financial market regulations are highly desirable.

Candidates for the Data Analytics/Data Processing Expert role at Capco Poland should be proficient in languages and tools related to data processing and web development. This includes expertise in Java, Python, or similar languages, as well as familiarity with frameworks like React for front-end development. Experience with data streaming and API integrations is also essential.

Absolutely! Capco Poland values continuous learning and professional growth. As a Data Analytics/Data Processing Expert, you will have access to over 3,000 business courses through platforms like Udemy, along with ongoing training opportunities. You will be encouraged to take ownership of your projects while collaborating with a talented and diverse team.

The hiring process for a Data Analytics/Data Processing Expert at Capco Poland consists of several steps: a preliminary screening call with a recruiter, a competencies interview with the Capco Hiring Manager, a final interview with a client, and feedback regarding your application. This structured process helps ensure a good fit for both parties.

To design a scalable data processing solution, start by understanding the data sources and required outputs. Consider aspects like load balancing and choosing the right technologies (like Kafka for streaming). Break down the project into modular components to isolate and optimize performance as needed, ensuring a flexible architecture.

Describe your hands-on experience with data streaming technologies such as Kafka or Solace queues. Highlight specific projects where you implemented real-time data processing solutions, focusing on challenges faced and how you optimized the throughput and latency of data flow.

Ensuring data quality and security involves implementing rigorous validation checks, monitoring data integrity, and using encryption techniques for sensitive information. Regular audits and adherence to compliance regulations are key practices that I follow to maintain high standards.

Detail instances where you contributed to both front-end and back-end development, perhaps mentioning specific frameworks you used, such as React for the front end and Node.js or Python for backend services. Share insights on how you ensure seamless integration between both components.

I keep myself updated by regularly attending webinars, participating in online courses, and engaging with tech communities. Following industry-leading blogs and publications helps me sense trends and innovations, which I can apply to my work.

Discuss a specific example where you faced tight deadlines. Emphasize your problem-solving skills, how you prioritized tasks, possibly delegated issues, and utilized agile methodologies to meet the deadline while maintaining quality output.

Effective stakeholder communication is based on clarity and frequent updates. I prefer using visual aids like dashboards or progress reports that summarize complex information and encourage feedback, ensuring alignment and transparency.

Describe a situation where you identified inefficiencies in a data processing workflow and implemented solutions that reduced processing time or enhanced data reliability. Use metrics to demonstrate the improvement achieved through your efforts.

To foster collaboration, I encourage open discussions and brainstorming sessions where everyone feels comfortable sharing ideas. I also advocate for regular feedback loops and use collaborative tools to keep everyone aligned and motivated.

I believe in examining different perspectives, so I would engage in a constructive dialogue to understand my colleague's viewpoint. Together, we could weigh the pros and cons of each approach to find a solution that aligns with our goals.