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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Hardware / Networking |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
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:
Develop and maintain scalable data pipelines and build out new integrations to support continuing increases in demand for various types of data
Provide input to business requirements and prepares functional requirement document along with solution options
Collaborate with key stakeholders to define KPI and build data metrics to measure KPI s
Analyse data with new perspectives and creative approaches to less defined issues involving unstructured and ambiguous data
Explores enterprise data and discovers patterns, meaningful relationships, anomalies and trends to generate actionable insights
Define and develop cognitive solutions for business needs, incorporating technologies in Machine Learning, AI, and Analytics
Job Requirements
Must possess strong subject matter expertise in at least two domains of Sales, Marketing, Install Base, Finance, and Customer Support areas.
Demonstrated ability to have completed multiple, complex technical projects
Data modelling 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
A minimum of 5 to 8 years of experience with Bachelor of Science Degree in Computer Science, Management Information Systems, or Business, or related field is required
,Keyskills :
big data analyticssubject matter expertise management information systemsbig data sap hanainstall base data modelingdata analyti