Senior Data Engineer

2 weeks ago

Bagalur, India Lifesight Technologies Pvt Ltd Full time
Job Description
Company Overview

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. Serving300+ 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 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.

Position Overview
Lifesight is growing rapidly and seeking a strong Data Engineer to be a key member of the Enterprise Data and business Intelligence organization with a focus on data engineering services based in Bengaluru, India. You will be joining as one of the few first data engineers in our Bengaluru office and as the early engineers in the data platform. 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 self-starter, who drives excellence, is ready to jump into a variety of big data technologies & frameworks, and can coordinate and collaborate with other engineers, as well as mentor other engineers in the team.

What You’ll Do
  • Design and implement data management services for data trust, data compliance, data access, and metadata management in the form of scalable and configurable while clearly articulating the technical rationale behind your design and implementation choices 
  • Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities 
  • Implementing ELT processes 
  • Monitoring performance and advising any necessary infrastructure changes 
  • Build data platforms and services to handle both real-time and batch processing of large data sets. 
  • Take end-to-end ownership of the design and implementation of core product functionality and key technical initiatives.


RequirementsYou are perfect for the role if you have…

  • 5+ years of data engineering experience in a fast-paced company that delivers software.
  • A deep understanding of designing and building highly scalable Data warehouses and Data pipelines. 
  • Hands-on Experience in SQL, Java/Scala programming languages. 
  • 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 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.
  • Strong understanding of engineering best practices and design principles.


BenefitsWhat is 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’s 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 in a non bureaucratic environment
4. Enjoy an environment that provides high levels of empowerment and space to achieve your Objectives and grow with organization.
5. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career
6. Great benefits- apart from competitive compensation & benefits
7. Above all- a “fun” working environment.

Why Join us?
● Be a part of building a Zero to One SaaS product
● Discover amazing career opportunities being the initial core team member driving tech strategy of Lifesight.
● We have a growth plan for everyone
● Rise to rewarding challenges, enjoy attractive incentives, competitive compensation and more ...
● Develop your skills- you will enabled with Aspire@Lifesight program to help you with  limitless resources for your learning

Requirements
You are perfect for the role if you have… 5+ years of data engineering experience in a fast-paced company that delivers software. A deep understanding of designing and building highly scalable Data warehouses and Data pipelines. Hands-on Experience in SQL, Java/Scala programming languages. 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 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. Strong understanding of engineering best practices and design principles.

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