TCS - Big Data SME Architect

Role:

- To design, architect and implement Big Data solutions with scalable distributed data processing technology including Hadoop and Splunk for Analytic applications

Required Technical Skill Set:

One or more of:

- Experience with major big data solutions like Hadoop, MapReduce, Hive, HBase, MongoDB, Cassandra

- Experience in big data tools like Impala, Oozie, Mahout, Flume, ZooKeeper and Sqoop

- Experience in working with ETL tools such as Informatica, Talend and Pentaho

- Firm understanding of major programming / scripting languages like Java, Linux, PHP, Ruby, Python and R

- Exposure with large cloud computing infrastructure solutions such as Amazon Web Services, Elastic MapReduce

Desired Competencies (Technical/Behavioral Competency)

Must-Have:

- Strong background in using tools such as Hadoop and worked as an architect on projects before

Good-to-Have:

- Background in consulting and advisory services; TOGAF certification

Responsibility of / Expectations from the Role:

- Interpret and translate client requirements into a complete technology solution with application blueprint.

- Articulate the pros and cons of various technology options for data acquisition, storage, transformation, analysis, visualization and security.

- Demonstrate the technology thought leadership to optimize the IT investment in the client facing role.

- Coordinate with Infrastructure team to assist with requirements and design of Hadoop clusters and troubleshooting operation issues.

- Lead a technical team of developers for ontime delivery in various project execution methodologies like scrum.

- Work with Data scientist and Business Analyst to ensure the delivery of rich insights from indepth analysis of data from multiple sources with various techniques