Lead Software Engineer - Data Engineering

Company Description

About Freshworks

Freshworks makes it fast and easy for businesses to delight their customers and employees. We do this by taking a fresh approach to building and delivering software that is affordable, quick to implement, and designed for the end user. Headquartered in San Mateo, California, Freshworks has a global team operating from 13 global locations to serve more than 65,000 companies -- from startups to public companies – that rely on Freshworks software-as-a-service to enable a better customer experience (CRM, CX) and employee experience (ITSM).

Freshworks’ cloud-based software suite includes Freshdesk (omni-channel customer support), Freshsales (sales automation), Freshmarketer (marketing automation), Freshservice (IT service desk), Freshchat (AI-powered bots), supported by Neo, our underlying platform of shared services.

Freshworks is featured in global national press including CNBC, Forbes, Fortune, Bloomberg and has been a BuiltIn Best Place to work in San Francisco and Denver for the last 3 years. Our customer ratings have earned Freshworks products TrustRadius Top Rated Software ratings and G2 Best of Awards for Best Feature Set, Best Value for the Price and Best Relationship.

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.

Qualifications

Responsibilities

• Independently able to Design, Develop, and Maintain data intensive applications
• Implementing 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

Skills and Qualifications

• Experience in building big data ETL data pipelines and Streaming applications using Spark (), 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

Additional Information

• 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