Remote Senior Data Engineer

Logo of Capco

Capco

πŸ“Remote - Poland

Job highlights

Summary

Join Capco Poland, 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.

Requirements

  • Extensive experience with Databricks, including ETL processes and data migration
  • Experience with additional cloud platforms like AWS, Azure, or GCP
  • Knowledge of big data technologies and frameworks
  • Strong knowledge of data warehousing concepts, data modeling, and SQL
  • Experience with RDBMS systems and transitioning data to modern cloud platforms
  • Proficiency in programming languages such as Python, SQL, and scripting languages
  • Knowledge of data governance frameworks, data quality management practices, and data security principles
  • Proficiency in database technologies, including relational databases e.g., SQL Server. In-depth knowledge of data modeling, database design
  • Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes
  • Bachelor or Master Degree in Computer Science or related field

Responsibilities

  • Design, develop, and implement robust data architecture solutions utilizing modern day data platforms like Databricks
  • Ensure scalable, reliable, and secure data environments that meet business requirements and support advanced analytics
  • Lead the migration of data from traditional RDBMS systems to Databricks environments
  • Architect and design scalable data pipelines and infrastructure to support the organization's data needs
  • Develop and manage ETL processes using Databricks to ensure efficient data extraction, transformation, and loading
  • Optimize ETL workflows to enhance performance and maintain data integrity
  • Ensure seamless data transition with minimal disruption to ongoing operations
  • Monitor and optimize performance of data systems to ensure reliability, scalability, and cost-effectiveness within Databricks environments
  • Collaborate with cross-functional teams, including data engineers, data scientists, analysts, and product managers, to understand data requirements and deliver solutions
  • Define best practices and standards for data engineering/data warehouse processes and ensure adherence to them
  • Evaluate and implement new technologies and tools to improve the efficiency and effectiveness of data pipelines
  • Provide technical leadership and mentorship to junior members of the data engineering team
  • Work closely with DevOps and infrastructure teams to deploy and manage data systems in production environments
  • Ensure that all data solutions comply with organizational policies, industry standards, and regulatory requirements
  • Collaborate with enterprise architects and IT leadership to ensure alignment of data architecture with overall IT architecture and strategies

Benefits

  • 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

Share this job:

Disclaimer: Please check that the job is real before you apply. Applying might take you to another website that we don't own. Please be aware that any actions taken during the application process are solely your responsibility, and we bear no responsibility for any outcomes.
Please let Capco know you found this job on JobsCollider. Thanks! πŸ™