
Chief Data Architect
3 days ago
We are seeking an experienced Senior Data Engineer to join our team of consultants. The ideal candidate will have a strong background in designing, constructing, and optimizing large-scale data processing systems that enable advanced analytics and business intelligence.
This role involves collaborating closely with data scientists, analysts, and other engineers to ensure the availability, reliability, and efficiency of our Databricks solution.
- Key Responsibilities:
- Design and develop scalable and robust data pipelines that collect, process, and store large volumes of structured and unstructured data.
- Architect and implement data warehouses, data lakes, and other storage solutions that support analytics and reporting needs.
- Optimize data architectures and workflows for performance, scalability, and cost-efficiency.
- Collaborate with data scientists and analysts to understand data requirements and ensure that data systems meet their needs.
- Evaluate and recommend emerging technologies and trends in data engineering to improve existing systems.
Qualifications:
- 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.
- Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, GCP, Azure).
About This Role:
This is an Equal Opportunity Employer position. We recruit and hire qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
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