Bachelors or Masters degree in Computer Science, Information Technology.
8+ years of experience in Data warehousing
Proven experience as a Databricks Architect or a similar role, with hands-on experience in architecting and implementing data analytics solutions on the Databricks platform.
Design and develop scalable data pipelines, data lake architectures, and data warehousing solutions on the Databricks platform using Spark and Delta Lake.
Implement and configure the Databricks environment, including clusters, notebooks, and libraries, ensuring optimal performance and resource utilization.
Integrate data from various sources, including structured, semi-structured, and unstructured data, into Databricks for processing and analysis.
Proficiency in programming languages such as Python, Scala, or Java.
Experience with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP).
Knowledge of data modeling, data warehousing concepts, and ETL processes.
Familiarity with big data technologies and distributed computing frameworks.
Strong problem-solving and analytical skills.
Excellent communication and collaboration skills to work effectively with cross-functional teams
Role: Database Architect / Designer
Industry Type: IT Services & Consulting
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: DBA / Data warehousing
UG: Any Graduate
PG: Any Postgraduate
Analytical skillsData modelingGCPSCALAData analyticsbig dataInformation technologyData warehousingPython