Associate Architect

Job Description

Data is the lifeblood of e-commerce businesses and this is the team that manages all the company s ata. The team has built a Big Data Platform to ingest data from a variety of data sources, standardize metrics and build data & analytics products . If you are interested in the fast growing field of big data and analytics, and want to work on big data engineering, building data visualization products and build analytical models (Insights) to power business decisions, then this is the team for you.You will get to work on managing large data stores (both relational data-warehouses as well as non-relational stores like HDFS) and learn about how to build mammoth-scale event collection and processing systems. You will also learn a lot of the business, as this team is also responsible for calculating all the key business metrics for each team. The team uses Kafka, Spark, Scala, Java, RedShift, MemSQL, AeroSpike, Python, R, as well as web technologies (nodejs, react) for building data & analytics products.Your Responsibilities:Technical Guidance : This role will be play the overall engineering lead role for Data & ML platforms for Myntra. You will provide technical leadership to a team of excellent software engineers; this requires that you have the technical depth to make complex design decisions and the hands-on ability to lead by example.Execution and Delivery : You will be expected to instill and follow good software development practices and ensure timely delivery of high-quality products. You should be familiar with agile practices as well as be able to adapt these to the needs of the business, with a constant focus on product quality.Team management : You will be responsible for hiring and mentoring your team; helping individuals grow in their careers, having constant dialogue about their aspirations and sharing prompt, clear and actionable feedback about performance.Desired Skills and Experience:Total of 10+ years experience, Experience level of 4+ years of experience in very large scale Big Data & Analytics applications and 3 + years experience in people management2+ years experience in Azure ecospace, Exposure to SQL Server / Azure Data Warehouse, HD Insights, Kubernetes (K8s), BlobDeep understanding of Architecture and Design of Data Engineering productsStrong problem solving skills, data structures and algorithms.Experience with distributed systems handling large amounts of data.Excellent skills in collaborating with business users and designing Data Engineering platforms and Data Delivery platformsAbility to streamline engineering disciplines for the team around rapid development cycles, product-ized data & analytics solutions, source control, data security, automated testing, automated monitoring for system health and performance, alerting for system / job failuresVery good understanding of Open Source technologies in Data & Analytics: MySQL, Pentaho stack, Spark, Kafka, Map/Reduce, Hive & Amazon RedShiftKnowledge of building and production-izing data science application would be preferredGood understanding of Java/web application architecture would be a plusRequirementsTechnical depth : You have the strong technical competence required to gain credibility. Ability to architect, design and code yourself. Technical experience in building and operating web-based applications. Deep understanding of all layers of the web-stack work (from the client interface to the database. ) Knowledge of multiple technology stacks/languages/tools and their pros/cons.Execution ability : Focus on delivering products in a timely manner with high quality. Familiarity with multiple software development practices and tools, and the proven ability to adapt, champion and institute good practices and tools.You must have a degree in Computer Science or a related field. Strong understanding of object-oriented programming, concurrency and fundamentals of computer-science.,

Keyskills :
computer sciencedata sciencedata engineeringopen sourceproblem solvingsitedata securitycustomer relationsbig datadocumentationdata visualizationdata structuresweb technologiessupervisionsql server