
Lead Data Solutions Specialist
17 hours ago
We are seeking a highly skilled and experienced data professional to join our team of consultants. As a Senior Data Engineer, you will be responsible for designing, constructing, and optimizing large-scale data processing systems that enable advanced analytics and business intelligence.
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.
To be successful in this role, you will need the following skills and 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).
As a Senior Data Engineer, you will have the opportunity to work with a talented team of professionals and contribute to the development of cutting-edge data systems. You will also have access to ongoing training and professional development opportunities.
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