Thomson Reuters is hiring for Software Engineer

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Experience- 3-6 Years in Data Engineering
Ability to translate business requirements to technical data requirements.
Advanced knowledge of Tools like dBT, Fivetran.
Minimum 1 year of experience with Snowflake with Snowflake Certification.
Knowledge of Spark and Python.
Expert knowledge of SQL and NoSQL.
Experience with data modeling (using relational models, Star and Snow Schema).
Experience with Data preparation, transformation and processing techniques at scale.
Experience in Tuning and automation of data pipelines handling large volumes of data (>250M records)

Engage with stakeholders, business analysts and project team to understand the data requirements.
Source, prepare and move large volumes of data at scale for use by project team.
Identify sources and destination of data and identify the appropriate data transformations required.
Ensure that the appropriate systems of record are being used for source data.
Pick the appropriate data movement mechanism. Build ETLs and/or data pipelines.
Automate processes and ensure the appropriate backups and high availability mechanisms exist.
Ensure the appropriate alerting mechanisms exist in the event of failure.
Ability to tune the performance of the data movement mechanism so that it meets business operational needs.
Design target data models, if none exist at the destination. Have experience with data models like relational schema design, star schema and snow schema.
Do platform engineering and architecture to support machine learning operations when required.
Assist with data queries, data analysis and dashboarding using tools such as Tableau and PowerBI.