Epsilon India

OPENS AT: Jun 24, 12:30 PM

CLOSES AT: Jul 03, 06:25 PM


Epsilon Women in Tech Data Engineer Hiring Challenge

Online Participation is confidential LIVE
SQL Challenge
Multiple Openings
2-7 years
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Take on our hiring challenge to be part of our Data Engineering team under Epsilon’s Digital Experience wing. We lead the first mile of the customer experience through the personalization of offers and content, and we are currently on the lookout for a smart, highly driven software engineer.

You will be part of a team that is focused on building solutions/pipelines using the latest software engineering design principles and tech stacks. You will also be expected to identify, design, and implement improvements including re-designing infrastructure for greater scalability, optimizing data delivery and automating continuous integration and deployment processes/pipelines.

The incumbent is also expected to partner with various stakeholders, and bring scientific rigor to design and develop high-quality software.

She must have excellent verbal and written communication skills and be comfortable working in an entrepreneurial, ‘start-up’ environment within a larger company. 



Format of the challenge: 

  • MCQs: Topics: Hadoop, Apache Spark, AWS, Azure, Python, ETL Pipelines
  • Programming 
  • SQL 
  • Open to all languages. Languages preferred: Python & Nodejs

Recruitment process:

  • The shortlisted candidate will be interviewed upon test clearance
  • After the results are shared with Epsilon, it would take one week to check on the eligibility 


  • Location – Bangalore
  • Experience – 2 to 7 years
  • Women only

Skills: Python & Nodejs

Tech Stack: 

  • Python or NodeJS, PySpark, Microservices, Docker, Serverless Frameworks
  • Cloud Platforms: AWS, Azure
  • Tools: AirFlow/MLFlow
  • SQL / No SQL databases


Senior Software Engineer - AWS
Experience: 2-7 years

Senior Software Engineer - AWS

Brief Description of Role:

  • Develop solutions for Epsilon that will deliver high quality personalized recommendations across different channels to our customers
  • Working with Data science team to ensure seamless integration and support of machine learning models.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
  • Develop end-to-end (Data/Dev/MLOps) pipelines based on in-depth understanding of cloud platforms, AI/ML lifecycle, and business problems to ensure solutions are delivered efficiently and sustainably.
  • Collaborate with other members of the team to ensure high quality deliverables
  • Learning and implementing the latest design patterns in software engineering


Data Management 

  • Experience with both structured and unstructured data, and Hadoop, Apache Spark, or similar technologies
  • Good understanding of Data Modeling, Data Warehouse, Data Catalog concepts and tools
  • Experience with Data Lake architectures, and with combining structured and unstructured data into unified representations
  • Able to identify, join, explore, and examine data from multiple disparate sources and formats
  • Ability to reduce large quantities of unstructured or formless data and get it into a form in which it can be analyzed
  • Ability to deal with data imperfections such as missing values, outliers, inconsistent formatting, etc.
  • Ability to manipulate large datasets, (millions of rows, thousands of variables)

Software Development 

  • Ability to write code in programming languages such as Python/NodeJs, PySpark and shell script on Linux
  • Familiarity with software development methodology such as Agile/Scrum
  • Love to learn new technologies, keep abreast of the latest technologies within the cloud architecture, and drive your organization to adapt to emerging best practices

Architecture and Infrastructure

  • Architectural design experience on AWS.
  • Experience in delivering software with AWS EC2, S3, EMR/Glue, Lambda, Data Pipeline, CloudFormation, Redshift etc.
  • Good knowledge of working in UNIX/LINUX systems


  • Bachelor’s Degree in Engineering and related field with 5+ years of similar experience
  • Tech Stack: Python or NodeJS, PySpark, Micro services, Docker, Serverless Frameworks.
  • Hands on experience building ETL workflows/pipelines
  • Experience in relational and non-relational databases and SQL (NoSQL is a plus).
  • Experience with Cloud technologies (AWS or Azure)
  • Experience building Data and CI/CD/MLOps pipelines
  • Familiarity with Airflow and MLFlow tools
  • Familiarity with automated unit/integration test frameworks
  • Experience working on AdTech or MarTech technologies is added advantage
  • Knowledge of machine learning algorithms and concepts and implementation will be a plus
  • Good written and spoken communication skills, team player.
  • Strong analytic thought process and ability to interpret findings

In addition, the candidate should have strong business acumen, and interpersonal and communication skills, yet also be able to work independently. He/she should be able to communicate findings and the way techniques work in a manner that all stakeholders, both technical and non-technical, will understand.

Conditions of Employment

All job offers are contingent upon successful completion of background checks.

Great People, Deserve Great Benefits

We know that we have some of the brightest and most talented associates in the world, and we believe in rewarding them accordingly.  If you work here, expect competitive pay, comprehensive health coverage, and endless opportunities to advance your career.  We offer associates a variety of benefits that work as hard for them as they work for us. 

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