Job Description
Myntra
Software Engineer,
Full -Time
Bengaluru, India
Myntra is a one stop shop for all your fashion and lifestyle needs. Being India's largest online store for fashion and lifestyle products, Myntra.com aims at providing a hassle free and enjoyable shopping experience to shoppers across the country with the widest range of brands and products on offer. The brand is making a conscious effort to bring the power of fashion to shoppers with an array of the latest and trendiest products available in the country.Myntra's cloud based big data platform is highly scalable and processes over 7 billion events per day. We are on a journey to modernize our data platform and offer multiple self-serve offerings for Myntra's data consumers. We use the best-of-breed open source components and SaaS solutions as starting points to build out these capabilities along with maintaining critical core data assets of the organization.
Any Degree
Fresher/Experienced
1. Hands on experience with building end to end, complex & robust Big Data Engineering pipelines on Spark (Databricks) and advanced PL/SQL
2. Expertise in data modeling principles/methods including conceptual, logical & physical Data Models
3. Proven data analytics expertise with ability to be Data Domain / Subject matter expert and leverage opportunities to maximize data potential
4. Understanding of Architecture and Design of Data Engineering products
5. Excellent skills in collaborating with business users (tech and non-tech) and designing Data Engineering solutions on Data Lakhouse & Data Warehouse
6. Ability to utilize Business Intelligence tools (Power BI) to represent insights
7. Proficiency in performance tuning - spark & pl/sql
8. Hands on experience working with MPP Databases like SQL Server, Azure Synapse
9. Exposure to programming languages like unix and python is good to have
1. Build and integrate robust data processing pipelines for enterprise-level business analytics.
2. 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.
3. Strong engineering mindset - build automated monitoring, alerting, self healing (restartability/graceful failures) features while building the consumption pipelines
4. Understand the business domain to create reusable cross functional data assets
5. Own the creation, accuracy and quality of consumption pipelines.
6. Work closely with Tech Engineering and Product teams to integrate BI solutions and algorithms into the Big Data Platform.
If you are interested in the fast growing field of big data and analytics, and want to work on big data engineering at scale, building data products and building analytical models (Insights) to power business decisions, then this is the team for you.
