Lead - Data Engineer

Exclusive opportunity

Hybrid

Lead - Data Engineer

Iris Software

Lead - Data Engineer

Skills

SQL QueriesData EngineeringDynamoDBPythonKafkaAmazon RedshiftDatabricksAWSGitHubPySparkAWS Kinesis

4 days ago

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Important information

Contract type:

Permanent

Location:

Noida, Uttar Pradesh, India

Work mode:

Hybrid

Published on:

15 October 2026

What they need

Mandatory Skills:

Python, Apache Spark, Data Quality & Validation, PySpark, SQL, Amazon Kinesis, Apache Kafka, Databricks Workflows, Delta Lake on Databricks

Additional Skills:

AWS S3 + Amazon Aurora + DynamoDB, AWS Glue, AWS Redshift, Data Governance Frameworks, GitHub

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.

Behavioral Competencies

Demonstrates strong ownership while driving data engineering excellence.
Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.

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