Senior Data Engineer
Iris Software (company site, opens in a new tab)NoidaOn-siteDirect career pageEst. 18–30 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and lead scalable data engineering solutions using PySpark, Apache Kafka, Databricks Workflows, and Delta Lake to support enterprise-scale data platforms.
- Architect and optimize batch and streaming data pipelines, event-driven data architectures, and workflow orchestration for reliable and high-performance data platform operations.
- Drive data quality, governance, and development of business-focused data products, while mentoring team members and collaborating with stakeholders for end-to-end delivery.
Minimum Requirements
- Proficiency in PySpark, Apache Kafka, Databricks Workflows, and Delta Lake on Databricks is mandatory.
- Experience with Snowflake or Delta Lake on Databricks and event-driven architectures such as Kafka or Amazon Kinesis required.
- Work Experience Required: Not explicitly mentioned in the JD.
- Location Requirement: Must be located in or willing to work in Noida, UP, India.
Ideal Candidate Profile
- Experienced in designing and implementing modern Lakehouse architecture and data observability practices for scalable and reliable data platforms.
- Able to troubleshoot complex data processing and streaming issues with strong analytical thinking and attention to detail.
- Capable of mentoring technical teams and collaborating across multiple teams and business stakeholders to ensure smooth delivery and adoption of data engineering best practices.