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Big Data Engineer - Crypto

Career Renew is recruiting for one of its clients a Big Data Engineer - Crypto - candidates need to be based in CET +/-4 timezones.

We are the fastest Telegram bot on Solana, with over $10 billion in traded volume. We empower traders with advanced on-chain trading tools like DCA orders, limit orders, and wallet copy-trading, offering a seamless, innovative experience.

Why Join Us?

We are synonymous with speed, innovation, and cutting-edge trading solutions. This is a unique opportunity to lead and build the data infrastructure for our project, collaborating with an elite team to shape a product that directly impacts thousands of active users in a fast-growing ecosystem.

Role Overview

We are looking for a Big Data Engineer to take ownership of our data architecture, ensuring scalability, low latency, and reliability. The ideal candidate will lead the design and implementation of data pipelines, real-time processing systems, and analytics platforms that support trading decisions and insights.

Key Responsibilities

  • Data Architecture Design: Maintain a scalable, high-performance data architecture tailored for real-time trading data, trading events, and analytics.
  • Tool Selection: Identify and integrate the most effective big data tools and frameworks to handle the ingestion, processing, and storage of Solana-based blockchain data.
  • Real-Time Data Processing: Build and maintain stream-processing systems using tools like Apache Kafka, Spark Streaming, or Flink for real-time price feeds and trading events.
  • Optimize Data Storage : Design and optimize storage solutions using a combination of in-memory databases (e.g., Redis) for active trading data and scalable databases (e.g., Cassandra, ClickHouse) for analytics.
  • Performance Monitoring: Monitor, troubleshoot, and optimize the performance of the data pipeline to handle high-throughput scenarios, such as trading spikes.
  • Scalability: Implement caching strategies and horizontal scaling solutions to maintain low latency and high availability.
  • Security : Deploy monitoring systems (e.g., Prometheus, ELK Stack) to oversee system health, data flow, and anomalies.
  • Collaboration: Work closely with engineering, product, and analytics teams to align data solutions with business goals.
  • Troubleshooting: Resolve issues in the big data ecosystem and ensure high availability and reliability.

Proficiency in distributed computing principles and large-scale data management for financial or trading systems.

Proficiency in tools like Kafka, Spark, and Flink.

Strong expertise in stream-processing frameworks like Spark Streaming, Apache Flink, or Storm.

Proficiency in TypeScript with 5+ years of experience.

Proficiency in ETL tools and frameworks, such as Apache Nifi, Airflow, or Flume.

  • Remote Flexibility: Work from anywhere while contributing to a high-impact role.
  • Growth Opportunities: Be a key player in defining our data infrastructure.
  • Challenging Projects: Work with cutting-edge technologies and tackle complex data challenges.
  • Collaborative Culture: Join a team that values innovation, expertise, and efficiency.
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What You Should Know About Big Data Engineer - Crypto, Career Renew

Career Renew is on the hunt for a Big Data Engineer - Crypto, and you're going to want to hear about this exciting opportunity! Our client boasts of being the fastest Telegram bot on Solana, having processed over $10 billion in traded volume to date. With a dedication to empowering traders through advanced on-chain trading tools like DCA orders and copy-trading wallets, this role offers you a chance to truly make an impact. As a Big Data Engineer, you'll take charge of the data architecture, ensuring it's scalable and reliable, perfectly suited for real-time trading needs. Your responsibilities will include designing and implementing data pipelines and real-time processing systems to support critical trading insights. In this dynamic environment, you’ll get to select effective big data tools that handle blockchain data and build stream-processing systems using top-notch technologies like Apache Kafka and Spark. Plus, you'll collaborate with an elite team, which presents a unique opportunity for growth in your career. Not only can you work remotely from anywhere, but you'll also tackle complex data challenges that require innovation and efficiency. If you have a passion for cutting-edge tech in the financial sector and are ready to lead data infrastructure enhancements, this position at Career Renew awaits you!

Frequently Asked Questions (FAQs) for Big Data Engineer - Crypto Role at Career Renew
What are the responsibilities of a Big Data Engineer - Crypto at Career Renew?

As a Big Data Engineer - Crypto at Career Renew, you'll design and maintain a scalable data architecture that's crucial for real-time trading data. You'll lead the development of data pipelines and stream-processing systems, optimizing data storage solutions and ensuring data can move seamlessly through various applications, especially during trading spikes. Additionally, you'll collaborate closely with engineering and analytics teams to align data strategies with business goals, monitor system health, and troubleshoot any arising issues.

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What qualifications are needed to apply for the Big Data Engineer - Crypto position at Career Renew?

Candidates for the Big Data Engineer - Crypto role at Career Renew should have a robust background in distributed computing, with specific expertise in tools like Kafka, Spark, and Flink. Proficiency in ETL frameworks such as Apache Nifi or Airflow is essential, along with over five years of experience in TypeScript and large-scale data management, particularly within the financial sector. Experience in system performance monitoring and optimization is highly valued for success in this role.

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What technologies will a Big Data Engineer - Crypto at Career Renew be working with?

In the Big Data Engineer - Crypto role at Career Renew, you'll work extensively with a variety of cutting-edge technologies. Key tools include Apache Kafka for stream processing, Spark Streaming for real-time analytics, and an array of big data storage solutions like Redis, Cassandra, and ClickHouse. You’ll also leverage monitoring systems like Prometheus and the ELK Stack to oversee data health and performance.

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Is remote work available for the Big Data Engineer - Crypto position at Career Renew?

Absolutely! The Big Data Engineer - Crypto position at Career Renew offers the flexibility to work from anywhere, making it an attractive opportunity for candidates who prefer a remote working arrangement. This setup allows you to contribute meaningfully to the company while maintaining a work-life balance that suits your lifestyle.

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What growth opportunities exist for a Big Data Engineer - Crypto at Career Renew?

As a Big Data Engineer - Crypto at Career Renew, you'll have significant growth opportunities within a collaborative and innovative environment. You'll be integral in shaping the data infrastructure that directly impacts thousands of active users. This role will not only bolster your technical skills but also enhance your leadership capabilities as you work alongside elite professionals in the crypto trading space.

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Common Interview Questions for Big Data Engineer - Crypto
Can you explain your experience with data architecture design?

In your response, highlight specific projects where you were responsible for data architecture design. Discuss the tools used, challenges faced, and how your solutions improved data handling and system performance in trading environments.

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What big data tools are you most familiar with?

Be sure to mention tools like Apache Kafka, Spark, Flink, and any relevant ETL tools such as Airflow or Apache Nifi. Give examples of projects where you utilized these tools and the outcomes you achieved.

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How do you ensure the scalability and reliability of your data systems?

Discuss strategies for scaling data systems such as horizontal scaling techniques or caching strategies. Provide examples from past experiences where you successfully ensured system reliability during high-throughput scenarios.

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Describe a time when you faced challenges in data processing and how you resolved them.

Share a specific instance where you encountered obstacles in data processing. Detail the steps you took to troubleshoot and how your solutions enhanced performance, showcasing your problem-solving skills.

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What methods do you prefer for monitoring data pipeline performance?

Talk about your experience with monitoring tools such as Prometheus or the ELK Stack. Describe how you use these tools to identify bottlenecks and optimize data flow, while ensuring high availability.

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Can you provide an example of a real-time data processing project you worked on?

Detail a specific real-time processing project, including the goals, the data technologies utilized, and how your contributions made a measurable impact on the project's success.

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What is your approach to working collaboratively with engineering and product teams?

Emphasize your commitment to collaboration and communication. Provide examples of how you have successfully aligned data solutions with business goals through teamwork with engineering and product teams.

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

Mention resources you rely on, such as industry blogs, webinars, or conferences. Illustrate how you adapt new technologies to enhance your data solutions and keep your skills sharp.

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What challenges do you foresee in the crypto trading space regarding data management?

Discuss your awareness of challenges like handling high-frequency trading data, ensuring security during transactions, and optimizing latency. Offer insights on possible solutions and innovations that could address these challenges.

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Why do you want to work as a Big Data Engineer - Crypto at Career Renew?

Articulate your passion for the crypto sector and its innovation-driven nature. Express excitement about the opportunity to impact the rapidly evolving landscape of blockchain trading and your desire to contribute to a forward-thinking company like Career Renew.

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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
December 28, 2024

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