QBrainX India
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Coimbatore · On-site · 3-5 Yrs · Aug 18
Information Technology Support Services · 201 to 500 Employees · Troy, US
We are constantly evolving and enhancing the industry-leading IT Services to automate Business Processes and Enterprise Services for our Global Customers. Why Choose Us: We serve enterprise clients to create one-of-a-kind next-generation capabilities that open up new opportunities.
What employees say
+ Nothing as such to say about it
− You can only survive there by buttering up a few middle managers. Top management do not bother about the value of employees. Though you perform, it is how you are treated by these
More reviews on the company profile.
Interview experience · Sr Consultant
The interview process goes through technical round and followed by managerial round. Technical round of interview was with ServiceNow Consultant and asked for developer questions.busienss rule client script Flow designe
Difficult difficulty · India · 8 reports
More interview insightsJob description
Overview
Responsibilities include designing, implementing, and maintaining robust data pipelines to ingest, process, and analyze large volumes of structured and unstructured data from diverse sources.
Responsibilities
- Design, implement, and maintain robust data pipelines to ingest, process, and analyze large volumes of structured and unstructured data from diverse sources.
- Collaborate with cross-functional teams to understand data requirements and develop solutions that meet business needs.
- Optimize data processing and storage systems for performance, scalability, and reliability.
- Ensure data quality and integrity throughout the data lifecycle by implementing data validation and monitoring mechanisms.
- Continuously evaluate and adopt emerging technologies and best practices in data engineering and analytics.
- Provide technical leadership and mentorship to junior team members.
- Participate in code reviews, architecture discussions, and sprint planning sessions.
Qualifications
- Design, implement, and maintain robust data pipelines.
- Collaborate with cross-functional teams.
- Optimize performance, scalability, and reliability.
- Ensure data quality.
- Evaluate and adopt new technologies.
- Provide mentorship and leadership to junior members.
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