McDonald’s India – Lead Data Engineer – SQL/Python/Big Data

McDonald’s India – Lead Data Engineer – SQL/Python/Big Data

McDonald’s India (South & West)

Mumbai, Maharashtra

Job Requirements :

– 5 to 7 years of experience as a Data Engineer/Analyst helping organizations for visualizing the data

– Manage Existing SAP BI and Schemas and migrate to new data engineering stack

– Working on advanced analytics use cases on the roadmap and maintain the analytics platform

– Consult with business, Insights team, Digital and IT teams on the new changes and use case and prepare an execution plan

– Developing, Deploying, managing, and operating scalable, highly available, and fault-tolerant applications on Cloud services

– Consult on best practices to manage and maintain cloud infrastructure

– Executing data modeling and optimization of data and analytics solutions at scale

– Crafting and developing applications that source data from various systems utilizing advanced programming in Scala, Python, js, shell scripting and SQL

– Delivering analytical algorithms and applications (eg. machine learning)

– Engaging in proof of concepts and experiments together… with data scientists and analysts to deliver new advanced analytics use cases

– Work with vendor on Fiorano (PAAS) use cases to pull data from different data sources

Technical Capabilities : You need to have demonstrated a deep understanding of applied Big Data technologies :

– Scripting languages for manipulating data (eg. Scala, Python, TensorFlow)

– Hands-on exposure to open source libraries like scikit learn, pandas to optimize models

– Exposed to containerization approaches like Dockers, Kubernetes

– Experience with orchestration tool like AirFlow

– Big Data (Hive, Impala) and NoSQL databases

– SQL, Linux Shell Scripting

– Cloud services frameworks esp AWS expertise to maintain and provision Infrastructure

– Data Mining and cleansing, Data Modelling & Data Provisioning (acquisition from various sources, transformation and sharing)Dedication from us

– Ninja with Integration approaches and establishing connections to visualization tools like Power BI

– Should have been a part of at least 1 end-to-end implementations of any cloud deployments

– In-depth understanding of AWS, Azure environments.

– Deployed cloud environments

– Good Business Analysis skills, process understanding and documentation, Solution architecture, delivery management and project management skills

– Good communication skills, proactive and business partner