
Big Data Engineer Lead
2 weeks ago
The role involves designing and implementing data architectures that meet the evolving needs of our clients.
- Designing and implementing data pipelines that can handle large volumes of data.
- Developing and maintaining a robust data architecture that meets the needs of various business stakeholders.
- Collaborating with cross-functional teams to ensure data consistency and quality across the organization.
- Experience in designing and implementing data architectures using Big Data technologies such as Hadoop, Spark, and NoSQL databases.
- Strong understanding of data modeling, normalization, and denormalization techniques.
- Ability to work with ETL tools and develop efficient data pipelines.
- Experience in working with cloud-based platforms such as AWS or Azure.
- Bachelor's degree in Computer Science, Engineering, or related field.
- At least 5 years of experience in data engineering and architecture.
Our ideal candidate is a highly motivated and experienced data engineer who has a strong background in designing and implementing data architectures. They should have excellent communication skills and be able to collaborate effectively with cross-functional teams.
What We Offer:- A competitive salary and benefits package.
- The opportunity to work on challenging projects and contribute to the growth and success of the company.
- A collaborative and dynamic work environment.
- Ongoing training and development opportunities.
- The chance to work with a talented team of professionals who are passionate about data engineering and architecture.
Join us and take your career to the next level by becoming a key player in our data engineering team
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