
Senior Data Engineer
1 day ago
Are you looking for a challenging role in data architecture?
We are seeking an experienced Data Architect to join our team and help clients build scalable data platforms and AI solutions.
The ideal candidate will have a strong background in data engineering, including data warehousing, ETL, and data governance.
You will work closely with data scientists and analysts to develop and deploy machine learning models and analytics solutions.
In this role, you will design and implement scalable, secure, and efficient Databricks solutions that meet client requirements.
You will also be responsible for optimizing Databricks cluster performance, ensuring efficient resource utilization and cost-effectiveness.
Additionally, you will implement Databricks security features, ensure data governance, and maintain compliance with industry regulations.
To succeed in this role, you will need 5+ years of experience working with Databricks, including platform architecture, data engineering, and data analytics.
Proficiency in languages such as Python, Scala, or Java, and experience with Databricks APIs, Spark, and Delta Lake is required.
A proven track record of leading technical teams, mentoring junior engineers, and driving technical initiatives is also necessary.
This is a key position within our company and we require someone with a strong technical skillset who can drive business results.
We value excellent communication and interpersonal skills, with the ability to work effectively with clients and internal stakeholders.
This is a rare opportunity to join a pioneering company at the forefront of data innovation and make a significant impact on our clients' businesses.
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