Databricks Lead_ IRIS Software, Noida || Immediate joiners

IRIS Software Inc is seeking Databricks Lead_ IRIS Software, Noida || Immediate joiners only || Hybrid Opportunity

Total Experience: 8-10 yrs

Shift : U.K(12 Pm to 9 pm)

Notice Period : Immediate joiners will preferred

Pls go through the JD below

Databrics - Lead :

Location: Noida

Experience: 8-10 Years

Mandatory Skills:

Databricks Workflows, Apache Spark, Data Quality & Validation, PySpark, SQL, Apache Kafka, Snowflake

Key Responsibilities:

• Design scalable data engineering solutions using PySpark and modern distributed data processing frameworks
• Define data ingestion, transformation, and processing architectures aligned with business and analytical objectives.
• Design and optimize Snowflake or Delta Lake on Databricks solutions to support enterprise-scale data platforms.
• Lead implementation of high-performance batch and streaming data pipelines.
• Design and optimize event-driven data architectures using Apache Kafka or Amazon Kinesis.
• Define data streaming standards, integration frameworks, and scalable processing patterns.
• Architect workflow orchestration solutions using Apache Airflow or Databricks Workflows.
• Establish monitoring, scheduling, and operational controls for reliable pipeline execution.
• Drive data quality, validation, reconciliation, and governance practices across data engineering solutions.
• Design data engineering solutions following modern Lakehouse architecture principles, data observability practices, and platform engineering standards to improve scalability, reliability, and operational visibility.
• Drive development of business-focused data products by improving data quality, discoverability, usability, documentation, and trusted data consumption across analytical platforms.
• Promote responsible use of AI-assisted engineering capabilities to improve development productivity, testing, documentation, and engineering quality.
• Review data pipeline designs and implementations to ensure adherence to engineering, scalability, and performance standards.
• Troubleshoot complex data processing, workflow, and streaming platform issues through detailed root cause analysis.
• Mentor team members on PySpark, Snowflake, Delta Lake, Kafka, Kinesis, Airflow, and data engineering best practices.
• Collaborate with various teams and stakeholders to support end-to-end data platform delivery.

Interested candidates can share their updated cv on [email protected]

Pls fill in below details:

Total experience:

Relevant experience in Databricks:

Relevant experience in Data Engineer:

Relevant experience in SQL

Relevant experience in Azure:

Relevant experience in Pyspark:

Current CTC:

Any offers :

Expected CTC:

Current Location:

Hometown:

Notice Period : (officially on papers, pls mention LWD if serving notice)