Data Senior Engineer
Iris Software (company site, opens in a new tab)NoidaOn-siteDirect career pageEst. 18–30 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement scalable batch and streaming data pipelines using PySpark, Databricks, Delta Lake, and Apache Kafka.
- Architect and optimize enterprise-scale data platforms and data ingestion/transformation processes aligned with business needs.
- Drive data quality, observability, governance, and operational reliability across data engineering solutions, including mentoring team members.
Minimum Requirements
- Mandatory technical skills: Python, PySpark, Databricks Workflows, Delta Lake on Databricks, Apache Kafka.
- Experience designing and implementing data engineering solutions involving batch and streaming data pipelines.
- Work Experience Required: Not explicitly mentioned in the JD.
- Location: Noida, UP, India.
Ideal Candidate Profile
- Experienced data engineer with expertise in distributed data processing frameworks and modern Lakehouse architecture principles.
- Skilled in operationalizing data pipelines with strong ownership mindset and quality-driven engineering practices.
- Capable of collaborating across teams and mentoring others on PySpark, Snowflake, Delta Lake, Kafka, Kinesis, Airflow, and related best practices.