Manager at Shorlist Professionals
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Director - Engineering - Surveillance Technology (18-25 yrs)
Title : Director - Engineering Director with Surveillance technology background
Experience : 18-25Yrs
Proficient in any 2 Tech Skills : Data Engineering / Java / Data Analytics (ML)
Responsibilities :
What we'll offer you :
As part of our flexible scheme, here are just some of the benefits that you'll enjoy :
- Best in class leave policy
- Gender neutral parental leaves
- 100% reimbursement under child care assistance benefit (gender neutral)
- Flexible working arrangements / Work from Home Option (if necessary)
- On job training on various International Reporting Standards relevant to the profile
- Sponsorship for Industry relevant certifications and education
- Employee Assistance Program for you and your family members
- Comprehensive Hospitalization Insurance for you and your dependents
- Accident and Term life Insurance
- Complementary Health screening for 35 yrs. and above
- Define and create technology strategy for products
- Develop user-centric designs and continually seek out and incorporates customer feedback
- Lead collaborative efforts to advance customer and business interest
- Evaluate design solutions objectively and facilitate conflict resolution
- Develop pioneering approaches to emerging technology and industry trends
- Provide technology leadership to culturally diverse team based out of multiple geographical location
- Build, maintain and strengthen relationship with stakeholders
- Communicate and negotiate direction with executive leadership and technical stakeholders
- Influence stakeholders to assess and manage the impacts of changes and drive decision making
- Research and recommend engineering best practices
- Provide governance to ensure engineering best practices are followed
- Apply technical expertise and leadership to guide teams in design decisions
A- pply engineering principles to create databases that optimize the ability toextract, store and manipulate data for consumption by other applications
- Research emerging technology that will optimize or automate systems or evaluate feasibility to recommend solution that delivers business value
Experience, Knowledge :
- BS or MS degree in Computer Science or a related technical field
- Python or Java development experience
- The resource takes responsibility for building and running data pipelines, designing our local data warehouse and data frameworks, and catering for different data presentation techniques
- Ability in managing and communicating data warehouse plans to internal clients
- Experience designing, building, and maintaining data processing systems
- Provide direction to the development of bespoke, client-specific data sandboxes
- Create and maintain optimal data pipeline architecture(s), based on our Global Technology Stack
- Identify, design, and implement internal process improvements to provide greater scalability to our existing client solutions
- Understanding the business requirements so as to formulate the problems to solve and restrict the slice of java data to be explored.
- Experience with data integration from multiple sources
Position Summary :
- We are looking for an expert with deep expertise in data Engineering and can build large-scale data processing systems by using the latest database and data processing technologies.
- Principal Responsibilities Design local modifications to our global data architecture, including new tools and technologies where necessary to meet regional use-cases
- Provide direction to the development of bespoke, client-specific data sandboxes
- Create and maintain optimal data pipeline architecture(s)
- Develop custom-built packages to support the needs of Data Scientists across the region
- Work with broader business stakeholders to assist clients and consultants with their data and infrastructure needs
Professional Experience :
- Deep knowledge of distributed data architecture, commonly-used BI tools, and approaches/packages deployed for machine learning build
- Experience creating production software/systems in Java or Python and/or Scala, and a proven track record of identifying and resolving performance bottlenecks for production systems
- Experience in machine learning algorithm design, feature engineering, validation, prediction, recommendation, and measurement.
- Experience with complex, high volume, multi-dimensional data, as well as machine learning AND Data analytics models based on unstructured, structured, and streaming datasets
- Demonstrated ability to incorporate new techniques to solve business problems
- Demonstrated resource planning and delivery skills
Technical Expertise :
- Post Graduate Degree in Information Technology
- Qualification in Computer Science or Engineering ideal. Certification in Hadoop (Cloudera or Hortonworks) and Apache Spark.
- Experience in developing production systems, with software engineering governance practices in place e.g, unit testing frameworks, CI/CD and scheduling technologies
- Good business acumen with a track record in solving business problems through data-driven quantitative methodologies.
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