Principal Data Engineer

iCIMS, Inc.; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

iCIMS, Inc. is seeking Data Engineers across levels to build and optimize scalable data pipelines and analytics infrastructure powering our Talent Cloud platform.

You will design, develop, and maintain data infrastructure, working with engineers, data scientists, and product teams, and provide technical leadership on key projects with a culture of innovation and learning.

Qualifications

• 7+ years of experience building data pipelines and systems.
• Proficiency in Python; familiarity with Java.
• Strong SQL skills and experience with relational and non-relational databases.
• Experience with cloud platforms (AWS preferred) and data storage services.
• Experience with streaming platforms and event-driven architectures.
• Knowledge of data modelling and warehousing principles.
• Experience with data transformation tools and BI platforms.
• Strong collaboration and communication across teams.

Responsibilities

• Lead a team of data engineers, providing direction and mentorship.
• Design, develop, and maintain scalable data pipelines from multiple sources.
• Build data infrastructure to support analytics, BI, and AI/ML workloads.
• Implement event sourcing and streaming architectures using Kafka and Kinesis.
• Apply data governance, security, and compliance to ensure data quality.
• Collaborate with data scientists and product teams to deliver reliable solutions.
• Troubleshoot data issues while maintaining data quality and integrity.
• Drive improvements in data engineering practices and architecture.
• Mentor engineers and lead technical projects.

Skills

Python

SQL

Data modelling

Data warehousing

Leadership

Mentoring

API development

Kafka

Kinesis

Snowplow

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Tools

Looker

Git

CI/CD pipelines

dbt

Kafka

AWS Kinesis

S3/Redshift

PostgreSQL

Job description

Job Overview

At iCIMS, we're redefining how people connect with opportunity through intelligent, human-centred technology. We're growing rapidly and are seeking Data Engineers at multiple levels of experience - from experienced to highly experienced professionals - to build the next generation of our Talent Cloud platform through scalable data pipelines, storage systems, and analytics infrastructure that power our data-driven decision-making and AI capabilities.

You will design, build, and optimise data infrastructure that supports analytics, business intelligence, and product development, working with software engineers, data scientists, and product experts and providing technical leadership on projects in a culture that values innovation, ownership, and continuous learning.

Responsibilities

• Lead a team of data engineers, providing technical direction, mentorship, and performance management
• Design, develop, and maintain scalable data pipelines to collect, process, and store data from multiple sources
• Build and optimise data infrastructure to support analytics, reporting, and AI/ML workloads at scale
• Implement event sourcing and streaming architectures using platforms (e.g., Kafka, AWS Kinesis) for real-time data processing
• Apply data governance, security principles, and compliance frameworks to ensure data quality and regulatory adherence
• Collaborate with data scientists, software engineers, and product teams to deliver reliable data solutions
• Troubleshoot and resolve data-related issues whilst maintaining data quality and integrityContribute to best practices, frameworks, and tools for data engineering excellence
• Drive improvements in data engineering practices and data architecture
• Mentor data engineers and provide technical leadership on projects

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field (or equivalent professional experience)
• 7+ years of experience building data pipelines and systems
• Proficiency in Python; familiarity with Java
• Strong SQL skills and experience with relational and non-relational databases (e.g., SQL Server, PostgreSQL, MySQL, MongoDB)
• Expertise with cloud platforms (AWS preferred) and data storage services (e.g., S3, Redshift)
• Expertise with streaming platforms (e.g., Kafka, AWS Kinesis) and event-driven architectures
• Strong understanding of data modelling, warehousing, and schema design principles
• Expertise with data transformation tools (e.g., dbt), BI platforms (e.g., Looker), and API development for data consumption
• Knowledge of version control (Git), CI/CD pipelines, and security principles for data systems (encryption, IAM, compliance frameworks)
• Expertise with user behaviour tracking platforms (e.g., Snowplow, Google Analytics) is a plus
• Strong analytical and problem-solving skills with intellectual curiosity
• Strong communication and collaboration skills across both technical and non-technical teams
• Demonstrated experience in mentoring engineers, leading technical projects, or driving architectural decisions