Sri Shakthi Institute of Engineering & Technology
Sri Shakthi Institute of Engineering & Technology
Big Data Engineer
Job Description
 
To draw on extensive academic excellence to underpin and carry out research or scholarship, teaching, leadership and management in the field of Big Data and within the school and faculty.
We are looking for a Big Data Engineer or Faculty with excellent communication skills to teach students on the collecting, storing, processing, and analyzing of huge sets of data. Look out for approach on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. Should also teach on how it can be integrated with the architecture used across the industry.
 
Submit Your Application at http://siet.ac.in/index.php/careers
 
Main Duties and Responsibilities
 
General:
 
- To contribute to the development and achievement of University, faculty and school strategy within the context of an international, research-led university.
- To be recognized as an authority in the field, developing and maintaining an external profile as appropriate to the discipline.
- To maintain scholarly activity and keep up to date with developments in the field as necessary to carry out the duties of the post.
- To carry out the duties of the post in accordance with the University values and standards, including the Leadership and Management Standard, and in line with University policies and procedures and local faculty/school benchmarks as appropriate, upholding high professional standards and leading by example.
- To work with our students as members of a learning community to provide world class education and an excellent student experience.
- To maintain own continuing professional development.
- To maintain a safe work environment, including ensuring compliance with legislation and the undertaking of risk assessments.
- To integrate the University value of inclusiveness into all appropriate aspects of the job; respecting the dignity and diversity of all members of the University community and of visitors to the University.
 
Research, Innovation and Impact:
 
- To pursue, develop and lead research, innovation and impact at an appropriately benchmarked level.
- To develop the strategic direction within own research area.
- To promote the integration of own research area with other research interests within and, as appropriate, outside the school and faculty.
- To maintain a high quality record of regular and original research publications of external standing as appropriate to the field or discipline.
- To attract research income on an individual and collaborative basis, as appropriate to the field or discipline, to underpin high quality research activity.
- To provide high quality postgraduate supervision and attract research students to the University.
- To take part in knowledge transfer activities, where appropriate and feasible.
 
Technical:
 
  - Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
  - Implementing ETL process
  - Monitoring performance and advising any necessary infrastructure changes
  - Defining data retention policies
 
Skills and Qualifications
 
  - Proficient understanding of distributed computing principles
  - Management of Hadoop cluster, with all included services
  - Ability to solve any ongoing issues with operating the cluster
  - Proficiency with Hadoop v2, MapReduce, HDFS
  - Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
  - Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
  - Experience with Spark
  - Experience with integration of data from multiple data sources
  - Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
  - Knowledge of various ETL techniques and frameworks, such as Flume
  - Experience with various messaging systems, such as Kafka or RabbitMQ
  - Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
  - Good understanding of Lambda Architecture, along with its advantages and drawbacks
  - Experience with Cloudera/MapR/Hortonworks {{you can specify the distribution you are currently using or planning to use here}}
  - Must have current and significant experience related to big data, Analytics and Statistics.
  - Hands on experience on Hadoop, MapReduce, Hive, Pig, data mining tools and algorithms, machine learning, statistics, Data streaming,  SQL, programming
  - Hands on experience / knowledge on atleast one of the following No SQL like , MongoDB, Cassandra etc.
  - Hands on experience / knowledge  on atleast one of the following  Python, R, Scala, Apache Spark, Hadoop,
  - Teaching Experience Preferred

  - Good Communication skills 

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