Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via email Architect and implement enterprisegrade data solutions using Databricks Apache Spark and cloud services.
Lead data engineering initiatives setting best practices and guiding technical decisions.
Design optimize and scale data pipelines for performance reliability and cost efficiency.
Define data governance policies and implement security best practices.
Evaluate emerging technologies and recommend improvements to existing data infrastructure.
Mentor junior and midlevel engineers fostering a culture of continuous learning.
Collaborate with crossfunctional teams to align data strategy with business objectives.
Qualifications :
Expertlevel proficiency in Databricks Apache Spark SQL and Python/Scala.
Extensive experience with cloud data platforms (AWS Azure or GCP) and big data technologies.
Strong understanding of data architecture data warehousing and lakehouse concepts.
Experience with realtime data processing and streaming technologies (Kafka Delta Live Tables Event Hubs)
Proficiency in automation CI/CD and Infrastructure as Code (Terraform Bicep).
Leadership skills with the ability to drive strategic technical decisions.
6 years of experience in data engineering with a track record of designing and implementing complex data solutions.
Additional Information :
Remote Work :
No
Employment Type :
Fulltime
Full-time