Hadoop Big Data Administrator/Engineer

2 days ago

Warszawa, Mazovia, Czech Republic Capco Poland Full time
  • 5+ years of hands-on experience in Big Data administration, automation, and DevOps practices, including Hadoop ecosystem tools such as HDFS, YARN, and MapReduce.
  • Proficient in managing and troubleshooting Kafka, HBase, and Spark.
  • Experience with performance tuning, cluster optimization, and high-availability configurations.
  • Strong experience with automation tools such as Ansible, Shell scripting, and Python scripting.
  • Ability to automate deployment, monitoring, and administration tasks to increase operational efficiency
  • Solid understanding of DevOps concepts and practices, including CI/CD, version control, and deployment pipelines.
  • Hands-on experience with automation of infrastructure provisioning and management using tools like Terraform, Docker, and Kubernetes (optional but desirable).
  • Proficiency in at least one programming language, with a preference for Python.
  • Ability to write efficient, maintainable code for automation and integration tasks.
  • Strong debugging skills and experience in resolving complex issues across distributed systems.
  • Ability to think critically and provide practical solutions in high-pressure situations.
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).

Nice to Have:

  • Experience with cloud platforms (AWS, Azure, GCP) for Big Data solutions.
  • Knowledge of containerization and orchestration tools (Docker, Kubernetes).
  • Familiarity with data pipeline frameworks and tools like Apache NiFi, Airflow, or similar.

*We are looking for Poland based candidate. 

Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

Capco Poland is a global technology and management consultancy specializing in driving digital transformation across the financial services industry. We are passionate about helping our clients succeed in an ever-changing industry.

We also are experts in Java, Python, Spring, Hadoop, Angular, React, Android, Google Cloud, Selenium, SQL, Docker, Kubernetes focused on development, automation, innovation, and long-term projects in financial services. In Capco, you can code, write, create, and live at your maximum capabilities without getting dull, tired, or foggy.

Capco Poland is a leading global technology and management consultancy, dedicated to driving digital transformation across the financial services industry. Our passion lies in helping our clients navigate the complexities of the financial world, and our expertise spans banking and payments, capital markets, wealth, and asset management. We pride ourselves on maintaining a nimble, agile, and entrepreneurial culture, and we are committed to growing our business by hiring top talent.

We are seeking a highly skilled and motivated Big Data Administrator/Engineer with 5+ years of experience in Hadoop administration and expertise in automation tools like Ansible, shell scripting, or Python scripting. The ideal candidate will have strong DevOps skills and proficiency in coding, particularly in Python. This is a dynamic role focused on managing and engineering Big Data solutions across multiple open-source platforms such as Hadoop, Kafka, HBase, and Spark.

You will be responsible for performing critical Big Data administration, troubleshooting, debugging, and ensuring the seamless operation of various data processing frameworks. If you are a hands-on, results-driven individual with a passion for Big Data technologies, this is the role for you.

WHY JOIN CAPCO?

  • Employment contract and/or Business to Business - whichever you prefer
  • Possibility to work remotely
  • Speaking English on daily basis, mainly in contact with foreign stakeholders and peers
  • Multiple employee benefits packages (MyBenefit Cafeteria, private medical care, life-insurance)
  • Access to 3.000+ Business Courses Platform (Udemy)
  • Access to required IT equipment
  • Paid Referral Program
  • Participation in charity events e.g. Szlachetna Paczka
  • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
  • Being part of the core squad focused on the growth of the Polish business unit
  • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
  • A work culture focused on innovation and creating lasting value for our clients and employees

ONLINE RECRUITMENT PROCESS STEPS

  • Screening call with Recruiter
  • Technical interview
  • Meeting with Hiring Manager
  • Feedback/Offer
,[Big Data Administration:, Administer and manage Hadoop clusters, ensuring high availability, performance, and scalability., Maintain and troubleshoot Hadoop ecosystem components such as HDFS, MapReduce, YARN, and related tools., Ensure Kafka, HBase, and Spark systems are optimized and running smoothly., Implement monitoring and alerting for Big Data infrastructure., Automation and Scripting:, Develop and automate scripts using tools such as Ansible, Shell scripting, or Python to streamline Big Data administration tasks., Create reusable automation frameworks to reduce manual efforts and improve operational efficiency., Work on CI/CD pipelines for deployment automation and system integration., DevOps Practices:, Apply DevOps principles to the Big Data environment, focusing on continuous integration and continuous delivery (CI/CD)., Build and manage automated deployment processes for Big Data clusters and services., Collaborate with development teams to integrate automation in Big Data workflows., Troubleshooting and Debugging:, Identify, troubleshoot, and resolve issues related to Big Data platforms, including system performance, resource utilization, and service failures., Work with logs, monitoring tools, and other debugging techniques to diagnose and resolve complex issues., Collaboration and Support:, Work closely with other teams to support data pipelines, data quality checks, and performance optimizations., Provide ongoing technical support to ensure that Big Data systems are stable, secure, and aligned with business objectives.] Requirements: Big data, DevOps, Hadoop, HDFS, yarn, Kafka, HBase, Spark, Performance tuning, Ansible, Shell, Python, Terraform, Docker, Kubernetes, Degree, Cloud platform, Azure, GCP, Apache, NiFi, Airflow Additionally: Private healthcare, Employee referral bonus, MyBenefit, Udemy for business.

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