Data Engineer

1 month ago

Hyderabad, Telangana, India Thomson Reuters Full time

Job Overview


We are seeking an experienced Data Engineer to join our team in Enterprise Analytics at Thomson Reuters. As a Data Engineer, you will play a critical role in ensuring that data is effectively managed and utilized to drive business insights and facilitate informed decision-making.



About the Role


In this position, you will:



  • Engage with stakeholders, business analysts, and project teams to understand data requirements.
  • Source, prepare, and move large volumes of data at scale for use by project teams.
  • Identify sources and destinations of data and determine 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.
  • Tune the performance of the data movement mechanism to meet 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.


About You


You're a fit for this role if your background includes:



  • 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).
  • Knowledge and hands-on experience with AWS tools (GLUE, Lambda, EMR, etc.).
  • Data analysis and use of visualization tools such as Tableau or PowerBI.
  • 1 year experience with machine learning operations in the AWS environment.
  • Experience in building POCs using generative AI techniques applicable for Data Engineering.
  • Bachelor's degree from a reputable institution (Computer Science preferred).
  • Knowledge of machine learning.


What's in it for you?


You will join our inclusive culture of world-class talent where we are committed to your personal and professional growth through:



  • Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
  • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
  • Culture: Globally recognized and award-winning reputation for equality, diversity, and inclusion, flexibility, work-life balance, and more.
  • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
  • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social, and Governance (ESG) initiatives for local and global impact.
  • Purpose Driven Work: We have a superpower that we've never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Sound exciting? Join us and help shape the industries that move society forward.


Accessibility


As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.


We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.


More information about Thomson Reuters can be found on https://www.thomsonreuters.com/.

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