Staff Data Engineer, Bangalore India (REQ - 1082)

Location: 
Bangalore Asia PacificIndiaBangalore
HID Global
2020-07-23
Job Type: 
Full-time

Job Title: Staff Data Engineer

Experience & Skills​

  • 8+ years of experience in IT industry.
  • Must have current and deep experience in programming with relational database, preferably SQL Server or Oracle.
  • Must have experience in working with large relational database using SQL queries to extract, transform and other pre-processing activities on large dataset.
  • Strong analytic skills related to working with unstructured and structured datasets.
  • Exposure to cloud technologies using AWS /Azure/ Google Cloud with special emphasis on Database and/or data science related products.
  • Experience in coding using python or java or C#.
  • Having a good knowledge or experience in .Net Core/Windows platform is helpful.
  • Having some experience in UI development (either using javascript or angular) is helpful but not mandatory.
  • Experience in building data pipeline that feed into analytical / ML jobs is desirable.
  • Experience in constructing reports and dashboards.
  • Experience in leading a small team of data engineers and collaborating with other teams within the company as well as with customers. 
  • Demonstrated ability to effectively communicate complex concepts to project teams including business representatives.
  • Experience working with RESTful Web Services is desirable
  • A Can-do attitude and mindset to work within a Fast-paced environment.

Responsibilities

Position is for a seasoned software engineer responsible for designing & developing HID SAFE - an industry leading, enterprise Physical Identity and Access Management product.

  • Coding, testing and debugging software according to specifications.
  • Write code with an eye towards maintainability and performance.
  • Documenting the key aspects of the software being developed.
  • Planning and Estimation of assigned work under Agile process
  • Building prototypes and "proof of concept" solutions.
  • Maintaining code in version control repository
  • Working with customer teams and other engineering teams to develop long term data platform.

Education

An Advanced Engineering / Computer Science Degree.

 

About Us – HID SAFE, part of HID Global

HID SAFE software suite provides a single, fully interoperable and integrated physical security policy platform to manage secure identities, compliance and operational analytics across multiple sites and systems. Using this platform, customers are able to reduce operational costs and the risk profile of the organization as well as foster compliance with regulations across disparate security infrastructure.

HID is re-defining the $100B Physical Security industry with its flagship product suite - SAFE. SAFE is the first and only product in the Physical Security Industry that automates Physical Security Policies to manage Cardholder Identities, Security Events & Regulatory Compliance.  SAFE converges diverse physical security infrastructure with IT/networking infrastructure to provide holistic and end-to-end security to Enterprises and Government Organizations including the World Trade Center, Accenture India, the U.S. Department of Energy, the U.S. Department of Health and Human Services, Adobe Systems, AMD, AT&T, Baxter International, British Telecom, Juniper Networks, Oracle, Symantec Corporation, San Francisco International Airport and the Toronto Pearson International Airport.

 

HID Global is the trusted leader in products, services and solutions related to the creation, management, and use of secure identities for millions of customers worldwide.

HID Global has over 2,200 employees worldwide with international offices that support more than 100 countries. HID Global has production facilities in North America, South America, Asia and Europe, as well as research and development centre’s all over the world.

With our new predictive security module, we are trying to offer a solution to our customers allowing their security organizations predict and prevent possible threats based on contextual analysis of data from multiple security devices and systems. This will enable organizations to take the power of their physical security data beyond mere storage, categorization and traditional periodic reporting and use it to predict physical security operations and possible security risks.