Senior Data Engineer

Radancy; Karnataka; On-site; INR 2,800,000 - 4,500,000; Full time

Job summary

Radancy is seeking a Senior Data Engineer to join our Bangalore Product Engineering team and help build the next generation of data platforms, insights products, and AI-powered data agents.

You will design data models, build pipelines, and collaborate with cross-functional teams to deliver high-quality, governed data for analytics and AI-powered solutions in a cloud-native environment.

Qualifications

• 5-8 years of experience in data engineering, including strong hands-on experience with SQL, Python, and data modeling.
• Experience building and optimizing data pipelines using Apache Airflow or similar orchestration tools.
• Strong experience with cloud data platforms such as Google BigQuery, Amazon Redshift, Databricks, Snowflake, or similar technologies.
• Experience working with large-scale structured and semi-structured datasets.
• Familiarity with distributed data processing technologies such as Spark, Kafka, or similar frameworks.

Responsibilities

• Design, develop, and optimize data models, schemas, and datasets for cloud-based data platforms.
• Build, optimize, and maintain reliable data pipelines using Python, SQL, Airflow, and cloud data technologies.
• Ingest, transform, aggregate, and curate data from diverse internal and external sources for analytics and AI.
• Collaborate with product, analytics, and engineering teams to translate business needs into scalable data solutions.
• Support AI-powered insights agents and data agents that enable data-driven decisions.

Skills

SQL

Python

Airflow

BigQuery

Redshift

Databricks

Snowflake

Spark

Kafka

Generative AI

MLOps

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

Google Cloud

BigQuery

Redshift

Databricks

Snowflake

Spark

Kafka

Job description

Overview

Radancy is the global leader in talent acquisition software, helping employers attract and hire the right talent through AI-powered recruiting technology, data-driven insights, and world-class candidate experiences. Our platform enables organizations to streamline hiring, strengthen employer branding, and drive measurable recruitment outcomes at scale.

About the Role

Radancy’s Data Engineering team is seeking a Senior Data Engineer to join our Bangalore Product Engineering team and help build the next generation of our data platform, insights products, and AI-powered data agents.

This role is part of our evolution from serving traditional data engineering needs to building intelligent, customer-facing data products that power insights agents, data agents, predictive analytics, and AI-driven decision support. You will work on data acquisition, data modeling, pipeline development, cloud-native data platforms, and agentic solutions that help employers better understand and act on their recruitment data.

Your work will be foundational to delivering high-quality, reliable, and well-governed data for Radancy’s AI and analytics solutions.

What does a great Senior Data Engineer do?

• Design, develop, and optimize data models, schemas, and datasets for cloud-based data platforms.
• Build, optimize, and maintain reliable data pipelines using Python, SQL, Airflow, and cloud data technologies.
• Ingest, transform, aggregate, and curate data from diverse internal and external sources to create high-quality datasets for analytics, reporting, AI, and agentic solutions.
• Work with domain experts, product teams, analytics teams, and engineering stakeholders to understand business needs and translate them into scalable data solutions.
• Support the development of Insights Agents and Data Agents that help users ask questions, generate insights, summarize trends, and make data-driven decisions.
• Develop AI-assisted and agentic solutions that generate actionable insights, business narratives, and compelling data stories from structured and semi-structured data.
• Use agentic software development tools and Generative AI tools to improve engineering productivity, including code generation, test creation, documentation, data validation, troubleshooting, and workflow automation.
• Continuously improve pipeline performance, reliability, observability, and cost efficiency through optimization, automation, and proactive monitoring.
• Build and maintain data quality frameworks, automated tests, validation checks, and monitoring processes to ensure trustworthy data.
• Collaborate with global engineering teams to define standards for data collection, modeling, governance, and AI-readiness.
• Assist with technical documentation for data models, pipelines, workflows, data contracts, and agentic data solutions.
• Ensure data security, platform security, data governance, and AI governance practices are followed to support compliant and ethical use of data.
• Qualifications
• 5-8 years of experience in data engineering, including strong hands-on experience with SQL, Python, and data modeling.
• Experience building and optimizing data pipelines using Apache Airflow or similar orchestration tools.
• Strong experience with cloud data platforms such as Google BigQuery, Amazon Redshift, Databricks, Snowflake, or similar technologies.
• Experience working with large-scale structured and semi-structured datasets.
• Familiarity with distributed data processing technologies such as Spark, Kafka, or similar frameworks.
• Experience with data quality, data validation, pipeline monitoring, and automated testing practices.
• Exposure to Generative AI tools such as OpenAI, Gemini, GitHub Copilot, Cursor, or similar tools is strongly preferred.
• Ability to use AI-assisted or agentic development tools to improve productivity, troubleshoot issues, generate tests, and accelerate delivery.
• Experience with Machine Learning, MLOps, predictive analytics, or AI-powered analytics is a plus.
• Experience building datasets or platforms that support analytics products, conversational insights, data agents, or business intelligence solutions is a plus.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Experience in AdTech, recruitment technology, HR technology, or talent acquisition data is preferred.
• Strong problem‑solving skills, attention to detail, communication skills, and eagerness to learn new business domains and technologies.

Company Values: At Radancy, we are dedicated to the core values that guide our work and culture:

• Innovative SpiritInnovation leads the way. We have a rich history of developing and delivering what’s new and next while valuing every voice on our team. Together, we’re shaping the future and leading the industry forward.

• Rewarding ImpactWork that matters. We strengthen organizations with transformative software that connects people around the world to meaningful careers. This work makes a difference in people’s lives and inspires our team to advance technology with purpose.

• Performance DrivenSuccess drives results. We use data and insights to inform strategy and maximize performance for our customers, all backed by our global teams committed to exceeding expectations with unmatched expertise and support.

• Supportive TeamsCollaboration is our backbone. We foster an environment that inspires our team members to deliver industry-defining technology. We empower our teams to learn from each other, grow their skills and create positive change in their work and communities.

Radancy is an equal opportunity employer and welcomes all qualified applicants regardless of race, ethnicity, religion, gender, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law. We actively work to create an inclusive environment where all of our employees can thrive. If you require any accommodations during the application process, please reach out to us at [e-mail], and we will work with you to meet your needs.