Lead - Data Platform Engineering at Freshworks

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

0.0

Posted On

09 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Spark, PySpark, Kafka, Snowflake, Redshift, Python, Java, SQL, Data Modeling, Distributed Systems, ETL Pipelines, Streaming Applications, Data Warehousing, OLAP, Cloud/SaaS, Airflow

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 The Analytics Platform Team is looking for a Lead System/Data Engineer who can implement the technology roadmap in coherence with the asks from business and evolve our Platforms into cutting edge technology offerings in the industry. You will work with an energetic and talented team of engineers to own and iteratively build one or more of our platform services, while partnering with architects and Product Managers from our many Products who will directly consume your work. You will be building scalable and reliable distributed systems that are milli-second efficient, always available and working at internet scale. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. All our Data Engineers wield end-to-end ownership of their platform services - from design, to development and testing, to deployment, and all the way to nurturing the systems in production. The future includes not only new business problems to add into the mix and new levels of scale to achieve, but also the overall technology vision of the Freshworks Platform as a whole related to not just how we build but also who we build for. Responsibilities Independently able to Design, Develop, and Maintain data intensive applications Implementing ETL pipelines to bring data from distributed data sources Responsible for availability, scalability, reliability, and performance of the big data system Ensure 99.99% availability and 99.999% uptime of your production systems Plan and execute goals, proven track record Strong opinions on engineering best practices Assist Product Owners with planning and roadmaps Leads will communicate and coordinate with other teams across Freshworks Mentoring other engineers in the team Platform teams tend to be small but self-sufficient. You will have a large scope of responsibilities. They also tend not to have any QA or Ops personnel Qualifications Experience in building big data ETL data pipelines and Streaming applications using Spark (PySpark), Kafka and other big data frameworks. Experience in Data Warehousing, and OLAP databases like Snowflake, Redshift, and Lakehouse architectures Strong SQL expertise, data modeling, optimizing complex joins and database concepts Strong programming development experience in languages like Python and Java. Extensive experience building and operating scalable, fault-tolerant, distributed systems in the area of large scale data intensive applications. Experience with Infra Scaling and Cost Optimizations Strong documentation skills — translate product requirements into feasible high-level design documents with technical implementation descriptions Strong track record with handling Production workloads and troubleshooting challenging issues Cloud/SaaS experience Strong analytical and problem solving skills Minimum of 8 years relevant experience Experience in Analytics and Business Intelligence domain is a plus Knowledge of Snowflake, Databricks, Apache Kafka, Apache Flink, Query Engines (Trino, Presto), Apache Airflow etc. is a plus Experience influencing product roadmaps by demonstrating the art of the possible through exploration and POCs Additional Information At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us. Compensation: INR 0 - INR 0 - yearly

Responsibilities

The role involves independently designing, developing, and maintaining data-intensive applications, including implementing ETL pipelines to integrate data from distributed sources. Responsibilities also include ensuring high availability, scalability, reliability, and performance for the big data systems, aiming for 99.999% uptime.