Job Description
Position : Big Data Lead & Developer,
Experience : 8-10 years
Location: Bangalore
Industry: Telecommunications
Employment Type: Full-time
Visa Sponsorship: Available for on-site client work
Fundamental Competency: Good knowledge of the entire data management landscape and deep understanding of core Big Data design patterns and the associated challenges involved with data analytics, analysis, certification, modeling, quality improvement and data management implementation projects including deep experience using one or more of the following technologies: Hadoop, Spark ,Amazon Web Services, Google, Microsoft Azure
Position Overview: The Big Data Lead would be responsible for Design and Development of scalable and distributed applications using Hadoop Technology Stack such as Apache Pig, Apache Hive HDFS , spark
Responsibilities:
Develop industry-leading ICT big data solution that seamlessly integrates the current system and data asset with the new strategy for data analytics.
Responsible for designing, testing, deploying, and documenting Big Data platform and analytics procedures and their outputs
Design and Develop scalable and distributed applications using Hadoop Technology Stack such as Apache Pig, Apache Hive and HDFS.
Provide/Benchmark efficient solutions based on project demands.
Responsible for implementing Map/Reduce jobs, UDF's and Performance Tuning of Hadoop jobs
Partner with data scientists, analysts, marketing, product management to provide summary results of data analysis, which will be used to make decisions regarding how to measure business rules and quality of the data.
Document at a functional level how the procedures work within the data quality applications
Research all available technologies, determine suitability and provide guidance on the best solution for the project at hand
Desired Skills and Experience
Bachelor s Degree (or equivalent) in Computer Science, Engineering, Math or a related field
Hands on in Java programming skills.
Exposure to Networking, NMS/EMS .
Understanding of Map-Reduce, Expertise in Apache Hadoop, Spark, Apache Hive, HBASE.
Hands-on experience working with low-latency real-time application requirements.
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