Yodlee Freshers Recruitment | Data Support Engineer | Bangalore
Yodlee Freshers Recruitment in Bangalore For Data Support Engineer Position. BE, BTech, ME, MTech, MCA Graduates are eligible to apply for this job. More details regarding Yodlee Bangalore Freshers Job Openings is given below.
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Company Name: Yodlee Infotech Pvt Ltd
Job Location: Bangalore
Job Category: IT | Software
Job Position: Data Support Engineer
Experience: Freshers / 0 to 1 year
Qualification: BE, BTech, ME, MTech, MCA
Job Description:
- Analytics is one of top focus areas for Yodlee and this position represents opportunity to be part of high growth teams driving innovation.
- Data Analytics division at Yodlee is enhancing focus on data products and & analytics enabled solutions in multiple business areas.
- We are looking for energetic & motivated technical enthusiast who can demonstrate high aptitude of learning both technical & business landscape of Big Data, and commitment to deliver/deploy high-quality data product solutions & services.
- In this role, you will work with a team of seasoned professionals who are responsible for building & supporting large scale, distributed big data solutions; and for delivering data science enabled analytics offerings via API interface.
Eligibility Criteria:
- BE/B Tech/Masters in Computer science and Engineering, or related area
- 0-1 years of experience and good knowledge in Information Technologies.
Job Responsibilities:
- Strong technical contributor to support, optimization and implementation of various products to deliver and/ or integrate with production pipeline.
- Support team member for monitoring pipeline failures, engage required stakeholders to resolve the issues and deliver the daily/hourly panels within SLA.
- Working in Support hours based on roster, which would include both day and night shift rotations.
- Involve in development and job deployment activities based on project requirements.
- Ownership of deliverables and attitude towards resolving issues.
- Continued Focus on automated monitoring and auto-healing of jobs.
- Work hand-in-hand with Data Engineering, Science and Product teams to understand the context of Business requirements, data volumes and deliverables, and instrument solution delivery systems accordingly.