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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