Data Engineers

About the Company:
Vishwakarma Technologies & Solutions Pvt. Ltd. is a company based in Pune. We help really passionate entrepreneurs, by making their ideas evolve into reality. We engineer beautiful mobile applications, scalable web and cloud applications.

Website: http://thevishwakarma.com

Job location: Pune

Desired Experience: 0 - 2 years

Target Batch Passout: 2014– 2017

Salary: INR 3.5 LPA – INR 5 LPA
(The final CTC will depend upon candidate’s performance in the interview and will be at the company’s discretion)

Course Specialization: BE/B.Tech

Tenative date of interview: Will be communicated post registration window is closed.

* The shortlisted candidates will be sent Admit Cards/Call Letters on their registered mail Id, which they will need to, carry on the date of Interview. No candidate will be entertained by the company without the formal intimation from Aspiring Minds.

Job Description & Skill Set Required :
- Should have excellent knowledge of relational Databases - preferably Postgres, Amazon RedShift, Google Big Query, MySQL etc
- Should have excellent knowledge of SQL query, Stored Procedures, Functions.
- Should be able to write SQL statement for ad-hoc report generation.
- Good programming skills in any one scripting language (not limited to nodejs, java, python etc)
- Should have knowledge of Queue management systems (Redis, PubSub, RabitMQ etc).
- Experience with No SQL will be an added advantage.
- Shall analyse, define and document system requirements for data, workflow, logical processes, interfaces with other systems, auditing, reporting requirements and production configuration.- Shall write and maintain functional and technical specifications.
- Shall create scripts and packages for data integration, data maintenance or bug fixes.
- Shall analyze code for problem resolution and performance optimisations.
- Know the main principles of Big Data.- know the main tools Big Data: unstructured database (Mongo DB, Cassandra) and the tools to request and exploit them (Hadoop, Spark).
- Use advanced analytics, data mining and statistical techniques to develop enterprise analytic solutions.
- Conduct data analyses and strengthen predictive models that aid in the solution development.- Translate data mining results into clear metrics / deliverables that drive business decisions.
- Innovative with strong analytical and algorithmic problem solving skills.
- Familiarity with data mining methodologies such as regressions, CART, neural nets, sequence analysis and cluster analysis.

Interview Process:
-Face to face Interview

Last date to apply: 3-July 2017