Big Data Engineer _ Tanvi _ Tech Mahindra @ 7 Y _ Bangalore and Pune

3 days ago

Bengaluru, Karnataka, India Coders Brain Technology Full time ₹ 1,00,00,000 - ₹ 3,00,00,000 per year
Job Description
We are making substantial investments to continue its leadership position in the emerging digital business ecosystem as companies pivot to the "#NewAgeDELIVERY".   A key part of this investment lies in designing systems based on Big Data Architecture to help our clients improve agility and speed to market by leveraging modern tools, techniques, and technology to deliver Cloud Native solutions.   The successful candidate will have deep experience in one or many Big Data frameworks as well as deep experience with creating Cloud Native solutions through all phases of the software development lifecycle across several Cloud providers including AWS, Azure, and others.    Qualifications   Role· Develop scalable infrastructure and platform to collect, analyize and process large amounts of structured and unstructured datawith real-time data interpretation.· Work closely across an array of various teams and organizations in the company (including partners, customers)   Basic Qualifications:· Bachelor's degree in Engineering in Computer Science/Electronics & Telecommunication.· Minimum of 2 year of Big Data experience   Preferred Qualifications:· years of software development experience using multiple computer languages. Experience building large scale distributed data processing systems/applications or large-scale internet systems (cloud computing)· Strong foundational knowledge and experience with distributed systems and computing systems in general. Hands-on engineering skills.· Should be able to develop big data solution and how that big data solution can be delivered using big data technology such as Hadoop/HDFS,MapReduce, Hive, AWS EMR, MongoDB,Airflow,Oozie,, Yarn, Ambari, ZooKeeper;Sqoop, BIRT or any other big data frameworks(with full life cycle of Hadoop Solution)· Hands-on experience with Hadoop applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning).· Firm understanding of major programming/scripting languages like Java, Linux, Ruby, Kafka, Camunda,Phyton and/or R, Shell script.· Should be able to build a big data environment on premises or in the cloud· Broad understanding and experience of real-time analytics, NoSQL data stores, data modeling and data management, analytical tools, languages, or libraries (e.g. SAS, SPSS, R, Mahout).· Experience with deploying container based applications using tools such as Docker· Experience developing API centric solutions (REST API)

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