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Title:  Data Engineer

Location: 

Bangalore, Karnataka, IN, 560071

Requisition ID:  42481
Job Summary

You will be part of Enterprise Data & Analytics team responsible for identifying analytical needs, exploring new technologies, and applying data sciences/machine learning concepts to maximize value from data assets.  Senior Data Engineer will work closely with key stakeholders both IT and Business to turn data into critical information and knowledge that can be used to make sound business decisions.  The individual must have an in-depth understanding of the business environment, an interest in going beyond the obvious, aptitude for new tools/technologies, and obsession for customer success

Essential Functions

  • Organize, lead, and facilitate multiple teams on highly complex, cross-functional, enterprise data and analytics initiatives
  • Develop and maintain scalable data pipelines and build out new integrations to support continuing increases in demand for various types of data
  • Collaborate with key stakeholders to define KPI and build data metrics to measure KPI’s
  • Define and develop cognitive solutions for business needs, incorporating technologies in Machine Learning, AI, and Analytics
  • Identify, evaluate and suggest new technology opportunities (including open source) that will have an impact on the enterprise-wide BI systems, machine learning, and predictive analytics
  • Work with vendors to provide cost estimates and general project management guidance
Job Requirements
  • Must possess strong subject matter expertise in at least two domains of Sales, Marketing, Install Base, Finance, and Customer Support areas.
  • Data modeling experience in Enterprise Data Warehouse and DataMart
  • Hands-on experience in SQL, Python, NoSQL, JSON, XML, SSL, RESTful APIs, and other related standards
  • Hands-on emphasis with a proven track record of building and evaluating data pipes, and delivering systems for final production
  • Exposure to Big Data Analytics (data and technologies), Data Sciences, predictive analytics, modelling, machine learning, in-memory applications
  • Experience with various data systems like Oracle Data Warehouse, SAP HANA, Hadoop/Hive, Vertica, Redshift, Presto, Mangodb
  • Strong understanding devops, on-premise, and cloud deployments - AWS, Google, Azure
Education

Minimum of 8 to 12 years of experience with Bachelor of Science Degree in Computer Science, Management Information Systems, or Business, or related field is required


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