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Form of workJob Summary:
In this role, you will be responsible for expanding and evolving the cloud-based enterprise data platform. You will ensure the technology components of the platform are correctly configured and optimized to meet the functional, non-functional, and operational requirements. This role requires a highly motivated individual with strong technical ability, data capability, excellent communication, and collaboration skills. The candidate must be self-directed with excellent written and spoken communication to interact with both upstream and downstream users and stakeholders.
Be willing to work non-standard business hours on an on-call basis in a 24x7 environment few days a month.
Responsibilities:
- Work directly with Business, Product and Technical stakeholders to triage through issues and fix data pipelines.
- Partner with Development Leads for refining and enhancing our Data architecture, Pipeline development, Automation, and planning.
- Develop and maintain documentation, technical runbooks and user guides and coach junior support engineers.
- Maintain best practices to facilitate optimized software development by team members and continuous integration and continuous delivery (CI/CD pipelines)
- Ensure the technological components of the platform are optimally configured to meet the functional and operational requirements.
- Able to identify and debug issues in Tableau dashboards.
- Create and manage Incident and Change Requests as needed for data pipelines.
- Use industry best practices such as code reviews, pull requests, and peer testing to ensure high quality deliverables.
Qualifications:
- Degree in computer science, engineering, or a related discipline preferred.
- 8+ years of experience in building and maintaining data platforms, ETL processes and connected sources and targets required.
- 5+ years' experience in data analytics on (Microsoft SQL Server, Redshift, HQL)
- 5+ years of professional experience in Python, Java, Hortonworks, AWS, Rest API, Microservices, Spring Boot, Spring cloud etc.
- 3+ years of Tableau or similar Visualization dashboards build and debugging.
- Hands on with compute frameworks like EMR, Hadoop, Spark .
- Advanced structured query language (SQL) skills are key.
- Strong foundation in the AWS Cloud Services: S3, Redshift Spectrum, EC2
- Practical Knowledge of AL / ML models in commercial settings
- This position will not be eligible for visa sponsorship now or in the future.
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