GE Recruitment Drive 2021 | Data Engineer

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Off-Campus Drive 2021

GE is hiring for Data Engineer, for more such off campus drives, internships, free udemy coupons be updated on our website

Job TitleGE Recruitment Drive 2021 | Data Engineer
DescriptionYou will be responsible for bulding, testing and maintaining Data orchestration through different layers, work with the internal audit/development team to identify possible discrepancies and resolving them.
Work LocationBengaluru – INDIA
Employment TypeFULL TIME

Job Description Summary

You will be responsible for bulding, testing and maintaining Data orchestration through different layers, work with the internal audit/development team to identify possible discrepancies and resolving them. She/he will work as a part of the operations team to provide technical support and working with developers to enhance the existing products as well as introducing new changes as a part of the process improvement.

Job Description

Roles and Responsibilities

In this role, you will:

  • Leverage technical data dictionaries and business glossaries to analyze the datasets
  • Perform data profiling and data analysis for any source systems and the target data repositories
  • Understand metadata and the underlying data structures needed to standardize the data load processes.
  • Develop data mapping specifications based on the results of data analysis and functional requirements
  • Perform a variety of data loads & data transformations using multiple tools and technologies.
  • Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications
  • Validate the data mapping results and match with the expected results
  • Implement Data Quality (DQ) rules provided

 

Education Qualification

Bachelor’s Degree in with basic experience.

Desired Characteristics Technical Expertise:

  • Ability to understand logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management & data lineage techniques
  • Hands-on experience in programming languages like Java, Python or Scala
  • Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or Hive
  • Experience in handling both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) data models
  • Experience / Good understanding of Spark based ETL development leveraging data from object storage such as AWS S3.
  • Experience with Big Data / Hadoop / Spark / Hive / NoSQL database engines (i.e. Cassandra or HBase)
  • Exposure to unstructured datasets and ability to handle XML, JSON file formats
  • Exposure to Extract, Transform & Load (ETL) tools like Informatica/Talend and open source technologies such as Airflow and Drill.

Domain Expertise:

– Exposure to finance and accounting data domains

– Exposure to customer and sourcing data domains

Leadership skills:

– Partner with other team members to understand the project objectives and resolve technical issues.
– Communicate project status or challenges in a clear and concise manner to the cross team members.

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