Lead Big Data Architect & Analytics Job Vacancy in Airtel India Gurgaon, Haryana – Updated today

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Full Details :
Company Name : Airtel India
Location : Gurgaon, Haryana
Position :

Job Description : This is a very inspiring role in Networks Digitization team where you will use your knowledge and/or experience in Big data Architecture/ Scripting/Coding/Data Science methodologies and apply them to develop in-house close loop AI driven self organizing platform. Also responsible to develop analytics based solutions that produce telecom Networks and customer experience use cases as well as quantitative and qualitative business insights. You will work in a highly collaborative environment where you communicate and plan tasks and ideas.
Responsibilities and Duties:
Education: Employers commonly require IT Certifications or a Bachelor’s degree in Computer Science or in a related technical discipline and extensive work experience (10- 12+ years of overall IT experience with Big Data, Analytics, Data Warehousing and Business Intelligence)
Technical skills: To work as a big data architect, applicants are required to have expertise in Big Data tools and technologies and must be experienced in the following areas: Linux expertise; experience in the set-up and administration of Hadoop platform; working knowledge of tools like Hive, Spark, HBase, Sqoop, Impala, Kafka, Flume, Oozie, MapReduce, etc.
They are also required to have an understanding of scripting languages such as Java, Scala, Python, or Shell Scripting, etc.; practical knowledge of end-to-end design and build process of Near-Real Time and Batch Data Pipelines; expertise with SQL and Data modeling working in Agile development process.
Knowledge: In addition to the technical skills they need to possess, applicants must also have adept understanding of the various phases of the Software Development Life Cycle and familiarity using Source Code and Version Control systems like SVN, Git, etc. They must also be proficient with Hadoop ecosystem and architecture components
Ability to work with large data sets: Big Data involves large data sets, so applicants must be able to work with highly diverse data in multiple types and formats, and sources
Self-starter: They must be able to work with minimal supervision
Teamwork abilities: The big data architect must be able to work in a team-oriented environment with people of diverse skill sets
Analytical skills: It is important that big data architects can analyze complex problems using information provided, understand customer requests, and provide the appropriate solution
Communication skills: Big data architects are required to engage with clients and stakeholders to understand their objectives for setting up Big Data and apply it in the architecture. So it is essential that they have exceptional communication skills to communicate the essence of Big Data to a business and engage with various parties necessary for the execution of their job
Interpersonal skills: it is also important that they can interact with business/technical users as needed; to gather Application Know-how necessary for design and development using Spark, Spark streaming, Kafka, and other HaDoop tools.

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