Lead Data Engineer

About the Role

At KANINI, we’re committed to building an environment where people can bring their best selves to work. As a Data Engineer (8+ year’s experience), you will design and optimize data pipelines, architect scalable solutions, and ensure seamless integration across diverse platforms. You will empower teams with reliable, highquality data, driving excellence in analytics and shaping outcomes that impact industries like healthcare and financial services.

What You’ll Do

Design and build data pipelines using GCP services and BigQuery.

Implement and manage workflow orchestration with Airflow.

Develop and optimize data solutions using Java or Python.

Collaborate with data scientists, analysts, and business teams to deliver actionable insights.

Ensure data quality, governance, and compliance across projects.

Optimize performance of largescale data processing systems.

Support cloud migration and modernization initiatives.

Partner with stakeholders to align data solutions with business goals.

What You Bring

8+ years of experience in Data engineering.

Strong expertise in GCP and BigQuery.

Handson experience with Airflow for workflow orchestration.

Proficiency in Java or Python for data processing and automation.

Solid understanding of Data modeling, ETL, and Database optimization.

Experience working in Agile delivery environments.

Strong problemsolving, communication, and stakeholder management skills.

Healthcare domain is preferred.

Why Join KANINI

Our leaders focus on creating an environment where people can achieve their potential and be recognized for their accomplishments.

We weave diversity and inclusion into the foundation of our culture.

We encourage new ideas, empower ownership, and measure success by your impact on business outcomes.

Be part of a company building digital transformation solutions across ServiceNow, AI, Data Analytics, Cloud, Telehealth, IoT, and more.