Lead - Data Platform Engineering at Freshworks

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

18 Dec, 25

Salary

0.0

Posted On

19 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Scala, Kafka, Spark, Databricks, AWS, Data Processing, Distributed Systems, Data Engineering, Data Quality, Big Data Handling, Software Engineering Practices, Problem-Solving, Analytical Thinking, Collaboration, Communication

Industry

Software Development

Description

Company Description Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Job Description As a member of the Data Platform team, you'll be at the forefront of transforming how Freshworks Datalake can harnessed to the fullest in making data-driven decisions Key Responsibilities: Drive the backbone of our data platform by building robust pipelines that turn complex data into actionable insights using AWS, Databricks platform Be a data detective by ensuring our data is clean, accurate, and trustworthy Write clean, efficient code that handles massive amounts of structured and unstructured data Qualifications Must be proficient in the major languages such as Scala and Kafka (any variant). Write elegant and maintainable code, and you need to be comfortable with picking up new technologies. Proficient in working with distributed systems and have experience with different distributed processing frameworks that can handle data in batch and near real-time e.g. Spark etc. Experience on working with various AWS services and Databricks to build end-to-end data solutions that bring different systems together Requires 4.5–11 years of experience in a related field. Skills Inventory Programming & Data Processing – Proficiency in Scala, Kafka, Spark, Databricks Distributed Systems – Experience with distributed data processing frameworks for batch and near real-time workflows Cloud Platforms – Hands-on expertise with AWS services for data storage, pipelines, and analytics Data Engineering – Building and optimizing scalable, reliable, and maintainable data pipelines Data Quality & Governance – Ensuring clean, accurate, and trustworthy datasets Big Data Handling – Working with large-scale structured and unstructured datasets Software Engineering Practices – Writing elegant, maintainable, and efficient code Problem-Solving & Analytical Thinking – Ability to troubleshoot complex data issues and design scalable solutions Collaboration & Communication – Working with cross-functional teams to deliver end-to-end data solutions Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

Responsibilities

Drive the backbone of the data platform by building robust pipelines that turn complex data into actionable insights. Ensure data is clean, accurate, and trustworthy while writing efficient code for massive datasets.