Posted:
7/8/2024, 5:00:00 PM
Location(s):
Karnataka, India ⋅ Telangana, India ⋅ Bengaluru, Karnataka, India ⋅ Hyderabad, Telangana, India
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Workplace Type:
Hybrid
Data Engineer – Enterprise Analytics
Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters.
We are looking for a highly motivated individual with strong organizational and technical skills for the position of Data Engineer. You will play a critical role in ensuring that data is effectively managed and utilized to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives.
About the Role
In this opportunity as Data Engineer, you will:
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.
About You
You're a fit for the role of Data Engineer 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 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 POC’s using Generative AI techniques applicable for Data Engineering.
Bachelor’s Degree from a reputable institution (Computer Science preferred).
Knowledge of Machine Learning.
#LI-NP1
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.
Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. 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.
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More information about Thomson Reuters can be found on https://thomsonreuters.com.
Website: https://thomsonreuters.com/
Headquarter Location: Toronto, Ontario, Canada
Employee Count: 10001+
Year Founded: 1977
IPO Status: Public
Industries: Advice ⋅ Analytics ⋅ Financial Services ⋅ Management Consulting ⋅ Professional Services ⋅ Risk Management ⋅ Software