Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and manage complex projects involving Databricks, PySpark, and related data engineering technologies.
Own delivery and optimization of data workflows using Apache Airflow, Apache Kafka, and Databricks Workflows.
Implement and enhance data lake solutions on Azure Delta Lake and Snowflake environments.
Minimum Requirements
Advanced knowledge and hands-on experience with Databricks, PySpark, Apache Kafka, Apache Airflow, Snowflake, and Delta Lake on Databricks.
Proficiency in SQL including joins, query optimization, and basic stored procedures and functions in MSSQL Server.
Basic proficiency in Python programming.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in managing and delivering data engineering projects with advanced skills in Databricks and PySpark.
Comfortable working with cloud data platforms, particularly Azure-based data lakes and Snowflake.
Skilled in optimizing SQL queries and data workflows for performance and scalability in enterprise environments.