Databricks Engineer
Iris Software — Noida, Uttar Pradesh
₹3–7 LPA (HireSetu estimate) · Entry level · Freshers eligible · Full-time
HireSetu listing reference 2376e7 — confirm requirements below, then apply on the employer site.
Quick answer: A hands-on Databricks engineering role in Noida covering PySpark pipelines, Kafka streaming, orchestration and production support. It reads like a hire for someone who has already kept a pipeline running, not someone learning the stack.
From Iris Software's job posting
Posted On
28 Oct 2026
Noida, UP, India
Why Join Iris?
Join Iris Software — one of the fastest-growing IT services companies — where you own and shape your success story.
Working with Us
At Iris, every role is more than a job — it’s a launchpad for growth.
Our Employee Value Proposition, “Build Your Future. Own Your Journey.” reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.
We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.
Curious what it’s like to work at Iris? Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.
Job Description
Mandatory Skills: PySpark, Apache Kafka, Databricks Workflows, Delta Lake on Databricks, Snowflake
Key Responsibilities
Develop and maintain scalable data pipelines and data processing solutions using PySpark.
Design and implement data ingestion, transformation, and processing workflows to support analytical and operational data requirements.
Build and maintain data solutions using Snowflake or Delta Lake on Databricks to support enterprise data platforms.
Develop batch and near real-time data processing pipelines leveraging modern data engineering practices.
Implement event-driven data integration solutions using Apache Kafka or Amazon Kinesis.
Develop data streaming workflows to support reliable and scalable data movement across systems.
Configure and maintain workflow orchestration solutions using Apache Airflow or Databricks Workflows.
Monitor and support scheduled data processing jobs to ensure successful execution and operational stability.
Perform data validation, reconciliation, and quality checks to ensure data accuracy and consistency.
Utilize AI-assisted engineering tools, code generation capabilities, and developer productivity solutions to improve data engineering efficiency while adhering to organizational engineering standards.
Support development of reliable data products by contributing to data quality, metadata, documentation, and business-ready datasets that enable trusted data consumption.
Troubleshoot data pipeline failures, workflow issues, and processing bottlenecks through root cause analysis.
Support testing, deployment, and production support activities for data engineering solutions.
Maintain technical documentation, workflow definitions, and operational procedures.
Collaborate with various teams and stakeholders to support successful data platforms and analytics initiatives.
Behavioral Competencies
Demonstrates ownership and accountability while delivering high-quality data engineering solutions.
Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.
Maintains a quality-first mindset while developing scalable and reliable data processing solutions.
Apply strong analytical and problem-solving skills to resolve data engineering and platform challenges.
Shows adaptability and willingness to learn evolving data engineering technologies and practices.
Communicates clearly by sharing progress, risks, and dependencies proactively.
The employer’s company overview, benefits, equal-opportunity statement and generic skills tables are left out here; they are on the original posting.
Text from Iris Software's official job posting, formatted by HireSetu. The employer's own page is the final word on details.
Two storage layers, both required
PySpark, Databricks, Delta Lake and Snowflake all sit on the mandatory list, so both storage layers are expected. Many data engineers are strong in one and rusty in the other. Expect questions on how you'd decide which one holds a given dataset, and how you keep the two consistent. Delta's transaction log and Snowflake's warehouse model solve different problems, and the reconciliation work in this role sits right where they meet.
Streaming is the harder half
Kafka is mandatory; Kinesis appears as the alternative route into event-driven integration. The listing asks for near real-time pipelines, the part that carries real risk: consumer lag, out-of-order events, replays after a bad deploy. Batch PySpark is the comfortable half. If your streaming experience is a single tutorial project, say that plainly and let the batch work carry your case.
The job includes the overnight failure
Monitoring scheduled jobs, production support and root cause analysis are written into the responsibilities, so you carry a pipeline after it ships. Data validation and reconciliation get their own line, which puts accuracy alongside uptime. The AI-assisted engineering point is unusual to see spelled out; expect a team with opinions on where code generation helps. Ask about support rotas, since they shape the week more than the tooling does.
Where you'd be coming from
Everything here assumes you have run pipelines in production and cleaned up after their failures. A fresher, or a switcher with coursework only, will find the RCA and production support expectations steep. Iris is an IT services firm of about 4,300 people serving financial services, healthcare and logistics clients, so the work arrives through client accounts and the domain shifts with the account. Most of the posting is workplace awards copy; the real bar is the mandatory skills line.
Prepared from Iris Software's job posting and checked against it before publishing. See our Editorial Policy.
How to apply
- The Apply button opens this job on Iris Software's careers site (careers.irissoftware.com).
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