Data Engineer

Who We Are

Ontic is the first protective intelligence software company to digitally transform how Fortune 500 and emerging enterprises proactively address physical threat management to protect employees, customers and assets. Ontic’s SaaS-based platform collects and connects threat indicators to provide a comprehensive view of potential threats while surfacing critical knowledge so companies can assess and action more to maintain business continuity and reduce financial impact. Ontic also provides strategic consulting, multidimensional services, education and thought leadership for safety and security professionals at major corporations via its Center for Protective Intelligence. For more information please visit ontic.co

As Ontic employees, we put our mission first and value the trust bestowed upon us by our clients to help keep their people safe. We approach both our clients and each other with empathy while focusing on the execution of our strategy. And we have fun doing it.

Work Exp: 3-6 Yrs. of experience

Assist in creating Big Data platform which will give us power to process massive data.

As well as, work closely with Data Scientists to enable machine learning and advance analytics capabilities.

Data Lake hosted on cloud, integrates range of internal and external data sources.

Focus on the development of efficient integrations logic and pipelines.

What we will do together:
• Design, implement, and extend core data system that enables reporting manages data integrations within the company's domain technology stack.
• Provide runtime and automation solutions that empower developers to migrate and run workloads in the public cloud.
• Responsible for maintaining and supporting all data workflows.
• Produce and maintain complex data workflows to meet all the quality requirements of the data management policy.
• Design, and documents database architecture.
• Responsible for creating and maintaining operational data store.
• Expertise in Data Warehousing and familiarity with cloud offerings for data lake and data warehouses.
• Builds database schemas, tables, procedures, and permissions.

Requirements
• Full-stack design, development, deployment, and operation of core data stack including data lake, data warehouse, and data pipelines.
• Proven capabilities of handling massive scale of data.
• Experience working public cloud provider (both AWS and GCP).
• Expertise in data engineering languages such as Python, Java, SQL.
• Experience working closely with devops team for containerized workflows, applications, and drive container adoption among developers and teams.
• Experience building ingestion, ETL data pipelines, especially via code-oriented systems like AWS Glue, Lambda, GCP analytics stack, Spark, Airflow.
• Expertise on Graph Database like Janusgraph, Arrango, Gremlin will be nice to have.
• Expertise in optimisation of data pipelines.
• Expertise on Machine Learning will be nice to have.

Ontic Benefits & Perks

Competitive Salary

Medical Benefits

Internet Reimbursement

Home Office Stipend

Continued Education Stipend

Festive & Achievement Celebrations

Dynamic Office Environment

Ontic is an equal opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, color, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law