Software Engineer in Myntra NEW

About Company :

Myntra is India’s leading e-commerce company committed to making fashion and lifestyle products accessible to everyone. We create solutions that disrupt the ordinary and help make the world a happier, more fashionable place.

We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us. From our beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take this journey with us.

Job Description :

Data has become the new currency in the modern day businesses and we are seeing the emergence of new businesses solely built on data. Organizations world over are realizing the potential that their in-house data holds and are increasingly using it in quite creative ways to unlock hidden opportunities. “Data drives decisions” is one of Myntra’s core value and is a reflection of how dearly we value data in taking decisions across the organization.

Roles & Responsibilities

• Build and integrate robust data processing pipelines for enterprise-level business analytics.
• Help architect data processing pipelines on Big Data systems. Have an ability to identify backend source pipe issues, and collaborate with Tech Engineering to fix these issues.
• Strong engineering mindset – build automated monitoring, alerting, self healing (restartability/graceful failures) features while building the consumption pipelines
• Understand the business domain to create reusable cross functional data assets
• Own the creation, accuracy and quality of consumption pipelines.
• Work closely with Tech Engineering and Product teams to integrate BI solutions and algorithms into the Big Data Platform.
• Help resolve data issues, troubleshoot system problems and as needed, assist other staff with reporting, debugging data accuracy issues and other related functions.
• Build front-end visualization using available BI tools in line with business requirements.

Basic Qualifications:

• Hands on experience with building end to end, complex & robust Big Data Engineering pipelines on Spark (Databricks) and advanced PL/SQL
• Expertise in data modeling principles/methods including conceptual, logical & physical Data Models
• Proven data analytics expertise with ability to be Data Domain / Subject matter expert and leverage opportunities to maximize  data potential
• Understanding of Architecture and Design of Data Engineering products
• Excellent skills in collaborating with business users (tech and non-tech) and designing Data Engineering solutions on Data Lakhouse & Data Warehouse
• Ability to utilize Business Intelligence tools (Power BI) to represent insights
• Proficiency in performance tuning – spark & pl/sql
• Hands on experience working with MPP Databases like SQL Server, Azure Synapse
• Exposure to programming languages like unix and python is good to have