Databricks Architect

Roles & Responsibilities

• Bachelor's or Masters degree in Computer Science, Information Technology, or related field.
• In depth hands-on implementation knowledge on Databricks. Delta Lake, Delta table - Managing Delta Tables, Databricks Cluster Configuration, Cluster policies.
• Experience handling structured and unstructured datasets
• Strong proficiency in programming languages like Python, Scala, or SQL.
• Experience with Cloud platforms like AWS, Azure, or Google Cloud, and understanding of cloud-based data storage and computing services.
• Familiarity with big data technologies like Apache Spark, Hadoop, and data lake architectures.
• Develop and maintain data pipelines, ETL workflows, and analytical processes on the Databricks platform.
• Should have good experience in Data Engineering in Databricks Batch process and Streaming
• Should have good experience in creating Workflows & Scheduling the pipelines.
• Should have good exposure on how to make packages or libraries available in DB.
• Familiarity in Databricks default runtimes
• Databricks Certified Data Engineer Associate / Professional Certification (Desirable).
• Should have experience working in Agile methodology
• Strong verbal and written communication skills.
• Strong analytical and problem-solving skills with a high attention to detail.

Role :   Solution Architect

Industry Type :   IT Services & Consulting

Department :   Engineering - Software & QA

Employment Type :   Full Time, Permanent

Role Category :   Software Development

Education

UG :   BCA in Any Specialization, B.Tech / B.E. in Any Specialization

PG :   MCA in Any Specialization, M.Tech in Any Specialization

Skills Required

Azure Synapse, Azure Data Factory, Architecture, Pyspark, Azure Databricks, Sql