Data Databricks - Senior Engineer
Iris Software (company site, opens in a new tab)NoidaOn-siteDirect career pageEst. 20–32 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design scalable data engineering solutions using PySpark and distributed data processing frameworks.
- Define data ingestion, transformation, and processing architectures aligned with business and analytical objectives.
- Collaborate with teams and stakeholders to ensure smooth delivery of data engineering projects.
Minimum Requirements
- Proficient in PySpark, Databricks Workflows, Apache Kafka, Delta Lake on Databricks, and Snowflake.
- Work Experience Required: Not explicitly mentioned in the JD.
- Location: Noida, UP, India.
- Not explicitly mentioned: Notice period, mandatory degree requirements, or regulatory constraints.
Ideal Candidate Profile
- Experience designing and implementing scalable data pipelines in cloud-native environments using Databricks and related technologies.
- Ability to define and architect data workflows and ingestion processes for business-aligned analytical objectives.
- Demonstrated ownership mindset with collaboration skills across teams and business stakeholders to ensure project delivery.