Thomson Reuters | Jobs | Sr. Data Engineer | | 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

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