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We are seeking a skilled Senior Data Engineer to design, build, and optimize large-scale data systems.

This is a challenging role that requires collaboration with data scientists, analysts, and engineers to ensure the availability, reliability, and efficiency of our client's Databricks solution.

Job Description

The ideal candidate will have experience in designing, constructing, and maintaining scalable and robust data pipelines that collect, process, and store large volumes of structured and unstructured data.

They will also be responsible for architecting and implementing data warehouses, data lakes, and other storage solutions that support analytics and reporting needs.

Key Responsibilities
  • Design and develop data pipelines that meet business requirements.
  • Architect and implement data warehouses and data lakes.
  • Optimize data architectures and workflows for performance, scalability, and cost-efficiency.
  • Collaborate with data scientists and analysts to understand data requirements.
  • Ensure data quality, integrity, and security.
Required Skills and Qualifications

To succeed in this role, you will need:

  • A Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 5+ years of experience in data engineering or related fields, with a focus on large-scale data systems.
  • 3+ years of experience with Databricks.
  • Proficiency in SQL and experience with databases such as MySQL, PostgreSQL, or NoSQL databases.
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Experience with ETL tools and frameworks and data pipeline orchestration.
Benefits

This role offers:

  • Remote work options.
  • Contract employment type.
  • Opportunities for professional growth and development.
About Us

We are an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.