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Marktine Technology Solutions Pvt Ltd

Bigdata Engineer -Spark

Reposted 22 Days Ago
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Remote
Hiring Remotely in IND
Mid level
Remote
Hiring Remotely in IND
Mid level
The Bigdata Engineer will design and develop ETL/Hadoop and analytics components, ensuring performance optimization and adherence to architectural standards, while managing distributed computing tasks and data ingestion workflows.
The summary above was generated by AI

This is a remote position.

Responsibilities:
  • 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
Skills Set:
  • 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


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