Quosphere Off Campus Recruitment 2019 For Freshers Across India
Eligibility: B.E./B.Tech
Location: Navi Mumbai
Experience Required: Fresher/Experience( 0-1 Year)
Last Date to Apply: As Soon As Possible
Candidate Profile and Criteria:
- This recruitment of Quosphere is for candidates who have completed B.E. /B.Tech (CS/IT).
- Quosphere is looking for a candidate who wants to build a career in Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatica, Information Systems or another quantitative field.
- Candidate should be 2018 batch or 2019 batch pass out.
- Candidate should have Advanced SQL knowledge.
- Candidate should have strong analytic skills related to working with unstructured/structured data sets.
- Candidate should have strong project management and organizational skills.
- We are looking for savvy Data Engineers to join our fast-growing team of analytics experts. You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
- The ideal candidate should be able to work with data and can work with data pipelines or wrangle, one who enjoys optimizing data systems and building them from the ground up.
Company Profile:
Company’s Name: Quosphere Infosolutions Pvt. Ltd.
Company’s Website: www.quosphere.com
Quosphere is a global Digital Technology Solutions company for Fortune 1000 and SMB organizations. We specialize in transformative strategic consulting and offer domain centric solutions in the areas of data management, business intelligence, visualization, predictive & prescriptive analytics and artificial intelligence. Acclaimed for our cutting-edge technical implementation of data science, data architecture and data engineering, we pride ourselves on being able to solve our client’s toughest data challenges.
Job Details and Description:
- The Data Engineer will architect, analyze on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects to support our data scientists and software developers.
- They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our clients data architectures to support our next generation of products and data initiatives.
- Create and maintain optimal data pipeline architecture, data warehouses, OLAP and analytics
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/Hadoop/Azure big data technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep client data separated and secure across national boundaries through multiple data centers and regions. Need a keen eye for data security
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
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