Exp8 Years
Lead the design and implementation of complex data architectures and solutions on the
Azure platform leveraging technologies such as Azure Data Factory ADLS Azure
Databricks and Unity Catalog.
Develop and optimize data pipelines for efficient data ingestion transformation and
loading into data warehouses and data lakes.
Ensuring data quality consistency and accessibility.
Leverage Python PySpark/Scala to develop data processing and analysis solutions.
Collaborate with data analysts data scientists and business stakeholders to understand
data requirements and translate them into technical specifications.
Provide technical leadership and mentorship to junior data engineers.
Ensure adherence to data governance and security best practices.
Identify opportunities for data optimization and performance improvement.
5 years of experience in data engineering or related field.
Strong proficiency in Azure Data Factory ADLS Azure Databricks and Unity Catalog.
Expertlevel programming skills in Python PySpark / Scala.
Deep understanding of data warehousing and ETL/ELT processes.
Experience with data architecture design and implementation.
Proven ability to lead and mentor data engineering teams.
Strong problemsolving analytical and communication skills.
Knowledge of cloud computing principles and best practices.