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
Design, build, and optimize scalable data pipelines and workflows using Databricks, Snowflake, Spark, Python, and SQL.
Develop and maintain ETL/ELT processes and data models for structured and unstructured data sources.
Monitor and improve data pipeline performance, collaborate with stakeholders, and participate in architecture and process improvement initiatives.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, IT, Engineering, Data Science, or related technical field.
Strong foundation in SQL and database concepts plus programming skills in Python or similar language.
Familiarity with Databricks, Apache Spark, Snowflake, or cloud data platforms via projects, internships, or certifications.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experience working alongside senior data engineers and architects on end-to-end data engineering lifecycle.
Demonstrated ability to handle modern data engineering technologies such as Databricks, Snowflake, Spark within cloud ecosystems.
Ability to translate business requirements into technical solutions and actively contribute to architecture and process improvements.