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Senior Data Engineer

Bangalore Urban
Full-Time
Senior: 7 to 10 years
Posted on Jun 26 2025

About the Job

Skills

Spark
Python
AWS
Java
GCP
Parquet
Big data
Hadoop

We're Hiring! Data Engineer - Bangalore


Lifesight is on a mission to empower businesses with advanced data intelligence!


We are a fast-growing SaaS company helping brands leverage data & AI for better customer acquisition and retention. With 300+ customers across the US, Singapore, India, Australia, and the UK, we deal with petabytes of data and process 400TB+ daily to power attribution and measurement platforms.


Now, we are looking for a Sr. Data Engineer to join our growing team in Bangalore! If you love working with big data, cloud environments, and cutting-edge technologies like Apache Spark, Kafka, Airflow, Presto, and NoSQL databases, this is the opportunity for you.


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 ingested every day and petabyte-sized data warehouse and elasticsearch cluster.
  • Build quality data solutions and refine existing diverse datasets to simplified models encouraging self-service
  • 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


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, 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 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


Why Join Us?


At Lifesight, we believe in growing together—not just as a company, but as individuals. We foster an

environment where innovation, collaboration, and personal well-being are valued just as much as

business success. Beyond leveraging smart technology to solve complex challenges, we cultivate a

workplace culture that prioritizes work-life balance and team camaraderie.


Here’s what you can expect:


● Be part of one of the fastest-growing and most successful Marketing Measurement Platform

making a global impact.

● Join as an early team member, influencing key decisions on tech stack, product development,

and strategies for building scalable solutions.

● Work in small, agile teams within a non-bureaucratic, fast-paced environment.

● Enjoy a culture of empowerment, where you have the space to achieve your objectives and drive

meaningful impact.

● Receive competitive compensation and benefits.

● Thrive in a collaborative and engaging work environment that values professional growth and

team bonding.

About the company

Lifesight helps marketers move away from inaccurate attribution techniques that lead 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: Elim ...Show More

Industry

Software Development

Company Size

201-500 Employees

Headquarter

New York City, New York

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