Thomson Reuters | Jobs | Sr. Data Engineer | BigDataKB.com | 24-02-22

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Job Location: Bangalore/Bengaluru

  • The data engineer will engage with stakeholders to understand the data requirements .
  • The data engineer will identify sources and destination of data and identify the appropriate data transformations required.
  • They will ensure that the appropriate systems of record are being used for source data.
  • In this regard, it is expected that they will be knowledgeable of specific data domains.
  • They will pick the appropriate data movement mechanism.
  • They will build the ETLs and/or data pipelines.
  • They automate this process and ensure the appropriate backups and high availability mechanisms exist.
  • They will ensure the appropriate alerting mechanisms exist in the event of failure.
  • It is expected that data engineers will be able to tune the performance of the data movement mechanism so that it meets business operational needs.
  • They may design target data models, if none exist at the destination.
  • Because of this it is expected that our data engineers have experience with data models like relational schema design and start schema.
  • We work in a cloud environment and our data engineers are expected to be able to do platform engineering and architecture to support machine learning operations when required.
  • Because, we have a high volume of data requests, our data engineers also assist with data queries and dashboarding using tools such as Tableau and PowerBI.

Key Skills:

  • Ability to translate business requirements to technical data requirements
  • Experience with data in a particular domain (ex. Sales, Marketing, Finance, Customer Support etc.)
  • Advanced knowledge of an ETL , data pipeline tool (FiveTran preferred)
  • 2 years of experience with Snowflake
  • Knowledge of SPARK/EMR
  • Expert knowledge of SQL and NoSQL
  • Experience with data modeling (using relational models and Star Schema)
  • Experience with Data preparation, transformation and processing techniques at scale
  • Tuning and automation of data pipelines handling large volumes of data
  • Knowledge of Amazon Web Services and tools (GLUE, Lambda etc.)
  • Expert knowledge of Python
  • Visualization tools such as Tableau or PowerBI
  • 2 years experience with Machine Learning Operations in the AWS environment
  • Experience tuning SQL queries

Required Education, Business and Technical Skills and Experience:

  • Bachelor s Degree from a reputable institution (BS. Computer Science preferred)

Nice to Have Education, Business and Technical skills and Experience:

  • Consulting Experience with a premier consulting firm
  • Knowledge of Machine Learning
  • General aptitude for Software development
  • Previous experience as a Database administrator

Apply Here

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