Job Description
Lifesight is empowering decisions with Advanced Data Intelligence
Lifesight is a fast-growing SaaS company focused on helping businesses leverage data& AI to improve customer acquisition and retention. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK. Our mission is to make it easy for non-technical marketers to leverage advanced dataactivation and marketing measurement tools that are powered by AI, to improve theirperformance and achieve their KPIs. Our product is being adopted rapidly globally andwe need the best people onboard the team to accelerate our growth.
Dealing with Petabytes of data and more than 400TB+ daily data processing to powerattribution and measurement platforms of Lifesight, building scalable, highly available,fault-tolerant, big data platforms is critical for our success.
From your first day at Lifesight, you'll make a valuable - and valued - contribution. Weoffer you the opportunity to delight customers around the world while gaining meaningfulexperience across a variety of disciplines.
About The Role
Lifesight is growing rapidly and seeking a strong Data Engineer to be a key member ofthe Data and Business Intelligence organization with a focus on deep data engineeringprojects. You will be joining as one of the few initial data engineers as part of the data
platform team in our Bengaluru office. You will have an opportunity to help define ourtechnical strategy and data engineering team culture in India.
You will design and build data platforms and services while managing our datainfrastructure in cloud environments that fuels strategic business decisions acrossLifesight products.
A successful candidate will be a self-starter, who drives excellence, is ready to jump intoa variety of big data technologies & frameworks, and is able to coordinate andcollaborate with other engineers, as well as mentor other engineers in the tea
What You’ll Be Doing
- Build highly scalable, available, fault-tolerant distributed data processing systems(batch and streaming systems) processing over 100s of terabytes of data ingestedevery day and petabyte-sized data warehouse and elasticsearch cluster.
- Build quality data solutions and refine existing diverse datasets to simplifiedmodels encouraging self-service
- Build data pipelines that optimize on data quality and are resilient to poor qualitydata sources
- Own the data mapping, business logic, transformations and data quality- Low level systems debugging, performance measurement & optimization on largeproduction clusters
- Participate in architecture discussions, influence product roadmap, and takeownership and responsibility over new projects
- Maintain and support existing platforms and evolve to newer technology stacksand architectures
We’re excited if you have
- Proficiency in Python and pyspark
- Deep understanding of Apache Spark, Spark tuning, creating RDDs, and buildingdata frames. Create Java/ Scala Spark jobs for data transformation andaggregation.
- Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka,Spark, Airflow, Presto, etc.
- Experience in building distributed environments using any of Kafka, Spark, Hive,Hadoop, etc.
- Good understanding of the architecture and functioning of Distributed databasesystems
- Experience working with various file formats like Parquet, Avro, etc for largevolumes of data
- Experience with one or more NoSQL databases
- Experience with AWS, GCP
- 5+ years of professional experience as a data or software engineer
What’s in it for you?
As a team, we are concerned with not only the growth of the company but each other’s personal growth and well-being too. Along with our desire to utilize smart technology and innovative engineering strategies to make people’s lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun-filled Friday events with a prioritizing healthy work-life balance.
1. Working for one of the fastest-growing and successful MarTech companies in times
2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products.
3. Enjoy working in small teams and a non-bureaucratic environment
4. Enjoy an environment that provides high levels of empowerment and space to achieve your objectives and growth with the organization.
6. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career.
7. Great benefits - apart from competitive compensation & benefits
Lifesight is a unified marketing measurement platform that helps marketers move away from inaccurate attribution that leads to misallocated budgets & wasted ad spend. Lifesight leverages modern measurement techniques like marketing mix modeling, incrementality testing & causal attribution to help them make better decisions that result in sustainable & profitable growth. Our core features: Data centralization & operationalization: Eliminate data silos, data quality issues and inconsistencies so you get the right insights every time. Marketing effectiveness measurement: Measure the true causal impact of online and offline marketing on all sales so you can make the right decisions. Planning, forecasting & optimization: Achieve your marketing goals with predictability & confidence with AI-powered insights. Marketing intelligence & analytics: Navigate your way to profitable growth by blending marketing & finance to deliver continuous improvements. Lifesight offers full-funnel measurement for every industry: Ecommerce, Retail, Agencies, gaming, entertainment, B2B SaaS and Travel & lifestyle. Learn more at lifesight.io
