Bigdata Engineer -Spark

• As a developer, possess excellent Knowledge of distributed computing architecture, core hadoop component (HDFS, Spark, Yarn, Map-Reduce, H base, HIVE, Impala) and related technologies.
  
• Technical Design and development of ETL/Hadoop and Analytics services /components
  
• Contribute in end to end architecture and process flow
  
• Understand Business requirement and publish reusable designs
  
• Result oriented approach with ability to provide apt solutions.
  
• Proficient in performance improvement & fine-tuning ETL and Hadoop implementations
  
• Conduct code reviews across projects. Takes responsibility for ensuring that build and code adhere to architectural and quality standards and policies.
  
• Can work independently with minimum supervision.
  
• Strong analytical and problem solving skills
  
• Experience/Exposure to SQL, advanced SQL skills
  

Requirements

• Strong understanding of distributed computing architecture, core hadoop component (HDFS, Spark, Yarn, Map-Reuduce, H base, HIVE, Impala) and related technologies.
  
• Hands on experience with batch data ingestion (Sqoop)
  
• Expert level understanding of relational data structure and RDBMS as well as NoSQL databases (Cassandra, MongoDB, Elasticsearch)
  
• Experience with automation/Scheduling of workflows/jobs (via shell-scripting, Tivoli)
  
• Solid Grasp of data storage formats (Parquet, Avro, HBase, Cassandra)
  
• Understanding of Agile methodologies as well as SDLC life-cycles and processes.
  
• Strong Understanding of Data warehousing and lakes
  

Originally posted on Himalayas