Offers “Merckgroup”

Expires soon Merckgroup

Advanced Analytics -- Hadoop Engineer

  • Internship
  • Bengaluru (Bangalore Urban)
  • Teaching

Job description

Job Location- Bangalore (Electronic City)

Shift Timings: 10:30 am – 7:30 pm or 1:30 pm – 10:30 pm  

We are looking for savvy Data Engineer to join our growing team, as part of   Advanced Analytics team, you will impact the business of Healthcare, Life Sciences and Performance Materials. Together we build solutions that will enable a seamless, highly scalable omni-channel experience for a multi-billion-dollar enterprise. You will work closely with Project Delivery Managers, Data Scientists, Architects and Business Stakeholders to design and develop world class data platform and solving business problems by leveraging the power of data.

Key Accountabilities-

·  Design, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide drive value from data at the organization's Scale.
·  Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
·  Identify right open source tools to deliver product features by performing research, POC/Pilot and interacting with various open source forums. 
·  Interact with the engineering teams across geographies to leverage expertise and contribute to the tech community.
·  Engage with Project Management and Business to drive the agenda, set your priorities and deliver solutions by leveraging the power of data.
·  Assemble large and complex data sets that meet functional / non-functional business requirements
·  Building and optimizing data pipelines, architectures and data sets.
·  Flexibility to support project issues during weekend and non-working hours.

Work Experience-

·  2 to 6 years of experience in software development/Data Engineering and minimum 2+ years of experience in Big Data engineering.
·  Hands on experience in any one of the programming languages – Python (preferred), Java, Scala and non-procedural language such as SQL.
·  Experience working with Big data Ecosystem like (MapReduce, Hive, Spark, Oozie, Sqoop, Kafka and Any NoSQL databases).
·  Experience in Unix/Linux shell scripting.
·  Experience working with large data sets in distributed computing to perform Massive parallel processing which Contributes to build analytics pipeline at M-Cloud System.
·  Experience with data science and machine learning is a plus.

 

Job Requisition ID:  206341

Location:  Bangalore

Career Level:  C - Professional (1-3 years)

Working time model:  full-time .buttontext1722e80f7dc3f6d2 a{ border: 1px solid transparent; } .buttontext1722e80f7dc3f6d2 a:focus{ border: 1px dashed #eb3c96 !important; outline: none !important; }

Careers during Covid-19
Thank you for visiting our careers website, we are always looking for curious minds to join our teams. We understand how much the world is being impacted by the Covid-19 crisis and we want to assure you that your safety is very important to us. To ensure that everyone’s health is protected, instead of a standard face-to-face interview, it is likely that you will be offered alternative digital interview options.

US Disclosure
The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law.  This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

North America Disclosure
The Company is committed to accessibility in its workplaces, including during the job application process. Applicants who may require accommodation during the application process should speak with our HR Services team at 855 444 5678 from 8:00am to 5:30pm ET Monday through Friday.

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