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Thomson Reuters
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Senior Data Engineer

Senior Data Engineer

Thomson Reuters

6 - 11 years

6 - 10 Lacs

hyderabad

Posted:1 day ago| Platform:

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Skills Required

data engineering sql segmentation data integration presto snowflake data sources configuring adobe analytics data analysis eloqua accounting marketing automation salesforce marketing aws cloud data transformation agile etl aws taxation crm

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a Senior Data Engineer for our Marketing team in Thomson Reuters. Design and develop our data transformation initiatives as we build the data foundation to drive our marketing strategy to enhance our internal and external customer experiences and personalization. This is a mission-critical role with substantial scope, complexity, executive visibility, and has a large opportunity for impact. You will play a critical role in ensuring that customer data is effectively managed and utilized to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale our digital customer experiences.
About the Role

In this role as a Senior Data Engineer , you will:

Independently own and manage assigned projects and meet deadlines, clearly communicating progress and barriers to manager and stakeholders.
Serve as a visible Subject Matter Expert on our Customer Data Platform, maintaining up-to-date awareness of industry trends, cutting-edge technologies, and best practices on relevant topics including unified customer profiles, deterministic and probabilistic matching, identity graphs, data enrichment, etc.
Design and implement data ingestion pipelines to collect and ingest customer data into the Customer Data Platform from various sources. This involves setting up data pipelines, APIs, and ETL (Extract, Transform, Load) processes.
Create and design data models, schemas, and database structures in Snowflake and the Customer Data Platform.
Carry out comprehensive data analysis from various system sources to yield enhanced insights into customer behavior and preferences.
Gather and analyze data from various touchpoints, including online interactions, transactional systems, and customer feedback channels, creating a comprehensive customer profile that presents a 360-degree view.
Ensure the launch of new data, segmentation, and profile capabilities, as well as the evolutions of the platform, go smoothly. This includes testing, post-launch monitoring, and overall setup for long-term success.
Collaborate with marketers and other stakeholders to understand their data needs and translate those needs into technical requirements.
Actively identify and propose innovations in data practices that evolve capabilities, improve efficiency or standardization, and better support stakeholders.
Shift Timings: 2 PM to 11 PM (IST).
Work from office for 2 days in a week (Mandatory).

About You

Youre a fit for the role of Senior Data Engineer, if your background includes:

Bachelors or masters degree in data science, business, technology, or an equivalent field.
Strong Data Engineering background with 6+ years of experience working on large data transformation projects, related to customer data platforms, Identity Resolution, and Identity Graphs.
Solid foundation in SQL and familiarity with other query engines, along with hands-on experience with Snowflake, AWS Cloud, DBT, and Real-time APIs.
Expertise in using Presto for querying data across multiple sources and Digdag for workflow management, including the ability to create, schedule, and monitor data workflows.
Proficient in configuring and implementing any industry-leading customer data platform, including data integration, segmentation, and activations is a must.
Experience using marketing data sources such as CRM especially Salesforce, marketing automation platform especially Eloqua, web tracking Adobe Analytics is a plus.
Exposure to Gen AI, capable of leveraging AI solutions to address complex data challenges.
Excellent oral, written, and visual (Power point slides) communication skills, especially in breaking down complex information into understandable pieces, telling stories with data, and translating technical concepts for non-technical audiences.
Strong ability to organize, prioritize, and complete tasks with a high attention to detail, even in the face of ambiguity and environmental barriers.
Knowledge of marketing or digital domains and of professional services industry, especially legal, tax, and accounting is a plus.
Experience in working in iterative development and a solid grasp of agile practices.

#LI-GS2

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Senior Data Engineer