Introduction: Digital Transformation Solutions (DTS)
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Extensive experience in defining, developing, and implementing security software, ideally with a strong embedded firmware development background
About the Role
This position offers an opportunity to work in a globally distributed team where you will get a unique opportunity of personal development in a multi-cultural environment. You will also get a challenging environment to develop expertise in the technologies useful in the industry.
What You Need
4+ Years Exp
Bangalore
Translate requirements of business functions into Graph-Thinking .
Build and maintain graphs and related applications from data and information, using latest graph technologies to leverage high value use cases.
Support and manage graph databases.
Integrate graph data from various sources - internal and external.
Extract data from various sources, including databases, APIs, and flat files.
Load data into target systems, such as data warehouses and data lakes.
Develop code to move data (ETL) from the enterprise platform applications into the enterprise knowledge graphs.
Optimize ETL processes for performance and scalability.
Collaborate with data engineers, data scientists and other stakeholders to model the graph environment to best represent the data coming from the multiple enterprise systems.
Excellent problem-solving and analytical skills
A growth mindset with a curiosity to learn and improve.
Team player with strong interpersonal, written, and verbal communication skills.
Business consulting and technical consulting skills.
An entrepreneurial spirit and the ability to foster a positive and energized culture.
You can demonstrate fluent communication skills in English (spoken and written).
Experience working in Agile (Scrum knowledge appreciated) with a DevOps mindset.
What is Nice to Have
Graph databases, such as Dydra, Amazon Neptune, Neo4J, Oracle Spatial & Graph is a plus
A master s or bachelor s degree in the field of computer science, mathematics, electronics engineering or related discipline with at least 10 plus years of experience in a similar role
Experience with other NoSQL databases, such as key-value databases and document-based databases (e.g. XML databases) is a plus
Experience with web technologies: HTML, CSS, XML, XSLT, XPath
Experience with modelling languages such as UML
Understanding of CI/CD automation, version control, build automation, testing frameworks, static code analysis, IT service management, artifact management, container management, and experience with related tools and platforms.
Familiarity with Cloud computing concepts (e.g. in AWS and Azure).
What Makes You Eligible
Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen.
Dedicated performer & team player with the ability to advocate appropriately for product quality.
Relentless learner with a dedication to learn new technologies and test methods
Self-driven and Innovative to drive continuous improvements in Test process
Resourcefulness in triaging problems and coordinating with multiple teams for issue resolution
Strong written, verbal communication and inter personal relationship skills
What We Offer
Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location
Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.)
Extensive training opportunities through our own HARMAN University
Competitive wellness benefits
Tuition reimbursement
Be Brilliant employee recognition and rewards program
An inclusive and diverse work environment that fosters and encourages professional and personal development
You Belong Here
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About HARMAN: Where Innovation Unleashes Next-Level Technology
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If you re ready to innovate and do work that makes a lasting impact, join our talent community today !
Job Classification
Industry: Electronics ManufacturingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full time