Data Engineer
Data Engineer
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Job Description
Lifesight is empowering decisions with Advanced Data Intelligence
Lifesight is a fastgrowing 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 nontechnical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth.
Dealing with Petabytes of data and more than 400TB daily data processing to power attribution and measurement platforms of Lifesight building scalable highly available faulttolerant big data platforms is critical for our success.
From your first day at Lifesight youll make a valuable and valued contribution. We offer you the opportunity to delight customers around the world while gaining meaningful experience across a variety of disciplines.
About The Role
Lifesight is growing rapidly and seeking a strong Data Engineer to be a key member of the Data and Business Intelligence organization with a focus on deep data engineering projects. 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 our technical strategy and data engineering team culture in India.
You will design and build data platforms and services while managing our data infrastructure in cloud environments that fuels strategic business decisions across Lifesight products.
A successful candidate will be a selfstarter who drives excellence is ready to jump into a variety of big data technologies & frameworks and is able to coordinate and collaborate with other engineers as well as mentor other engineers in the tea
What You ll Be Doing
Build highly scalable available faulttolerant distributed data processing systems (batch and streaming systems) processing over 100s of terabytes of data ingested every day and petabytesized data warehouse and elasticsearch cluster.
Build quality data solutions and refine existing diverse datasets to simplified models encouraging selfservice
Build data pipelines that optimize on data quality and are resilient to poor quality data sources
Own the data mapping business logic transformations and data quality Low level systems debugging performance measurement & optimization on large production clusters
Participate in architecture discussions influence product roadmap and take ownership and responsibility over new projects
Maintain and support existing platforms and evolve to newer technology stacks and architectures
Requirements
We re excited if you have
Proficiency in Python and pyspark
Deep understanding of Apache Spark Spark tuning creating RDDs and building data frames. Create Java/ Scala Spark jobs for data transformation and aggregation.
Experience in big data technologies like HDFS YARN MapReduce 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 database systems
Experience working with various file formats like Parquet Avro etc for large volumes of data
Experience with one or more NoSQL databases
Experience with AWS GCP
5 years of professional experience as a data or software engineer
Benefits
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 wellbeing 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 & funfilled Friday events with a prioritizing healthy worklife balance.
1. Working for one of the fastestgrowing 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 nonbureaucratic 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
You are perfect for the role if you: Bachelor s degree or above in Business Management, BI/Analytics, Economics, Statistics, Mathematics and/or Marketing 6+ years experience with strong foundation in data science and/or marketing science, with significant experience in business analytics, marketing analytics, attribution modeling, marketing mix modeling, experimentation projects. Highly accomplished analytical professional with strong problem solving skills and great attention to detail. Proven track record of working with mid-market and enterprise brands across industries. Proven track record of managing teams and delivering results for customers. Excellent project management and account management capabilities, with exceptional customer communication and servicing skills Exceptional ability to communicate complex data science concepts in simple terms. Skilled in developing strategies that drive revenue and market share. Experienced in leveraging social media platforms for brand promotion and thought leadership. Ability to collaborate effectively with diverse global teams.
Employment Type
Full Time
