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One North Consulting

Senior Big Data Engineer - Offshore Role

Early Applicant
  • a month ago
  • Be among the first 50 applicants

Job Description

One North Consulting is currently hiring Senior Big Data Engineers with about 5 - 8 years of experience as per details given below.

Skills & Responsibilities

As Senior Big Data Engineer, you will focus on managing the Hadoop cluster, implementing data ingestion framework designing data models.

Your primary role will be to implement data lake & transform the data for business use.

  • Experience with at least one Cloud Infra provider (Azure/AWS)
  • Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, DataSet / Dataframe API) or Hive query language (HQL)
  • Knowledge of Big data ETL processing tools
  • Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
  • Basic knowledge of scripting (shell / bash)
  • Experience with CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
  • understanding of DevOps practices using Git version control
  • Debug, fine tune and optimize large scale data processing jobs
  • Deliver big data solutions based on premise Hadoop or cloud-based systems like AWS.
  • Manage Hadoop cluster, participate in scale out planning & implementation.
  • Design ingestion layer for structured & unstructured data (text, voice, xml etc)
  • Implement specific data model for business & analytics use.
  • Deliver ELT solution including data extraction, transformation, cleansing, data integration and data management.
  • Augment with new sources of data including internal/external untapped data.
  • Contribute to the establishment and maintenance of cloud computing platform and big data services.
  • Provide support for analytics tools & environment like RServer etc & debug performance issues.

COMPETENCIES

  • Databases: RDBMS, SQL programming
  • ETL and Data Integration Tools: Azure Data Factory (ADF), Microsoft SQL Server Integration Service(SSIS), SAS Data Integration
  • Big Data: Hadoop (Hortonworks), Hive, Spark, Sqoop, etc
  • Programming and Scripting: Linux/Unix Shell Scripting, Java, Scala, Hive QL
  • BI/Dashboarding: SAS Visual Analytics, Qliksense

Working Experience:

  • 58 years in data engineering and modelling.
  • Hands-on in managing data mapping, data quality and integrity, performance in data processing.
  • Experience in Agile software development.

If Interested, please email us your CV to [Confidential Information]

More Info

Industry:Other

Job Type:Permanent Job

Date Posted: 15/10/2024

Job ID: 96321681

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