Senior Data Engineer

Thomson Reuters

. Design and implement end-to-end solutions to ingest data from multiple structured, semi-structured, and unstructured sources into the Enterprise Data Lake .

Posted 5/3/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudEC2ERPETLInformaticaPythonRDBMSShell ScriptingSparkSQLTerraform

About the role

Key responsibilities & impact

Design and implement end-to-end solutions to ingest data from multiple structured, semi-structured, and unstructured sources into the Enterprise Data Lake
Conduct source data analysis in collaboration with data subject matter experts to build robust data pipelines and thoroughly document data transformations
Develop and maintain scalable, sustainable ETL/ELT pipelines for both on-premises and cloud environments, ensuring efficiency, reliability, and performance
Innovate with new approaches for source ingestion, ELT data pipelines
Design and build data products that serve downstream consumers including data science, business analytics, and reporting teams
Perform end-to-end deployment of data pipelines using CI/CD processes
Collaborate with business analysts, data architects, and cross-functional teams to gather requirements, define data contracts, and deliver solutions aligned with business goals
Effectively communicate and liaise with data management teams embedded across the organization
Manage and prioritize technical debt while maintaining a high standard of code quality, pipeline reliability, and system scalability
Evaluate and adopt AI-powered tools and frameworks to improve pipeline development, data quality monitoring, and operational efficiency

Requirements

What you’ll need

7+ years of demonstrated expertise in data engineering
Senior Data Engineer: AWS, Python, Spark, Snowflake, SQL, CI/CD, data modeling, AI
Core Data Engineering Expert in Data Pipeline Development: ETL/ELT tooling for on-premises and cloud environments
Expertise in ETL tools, preferably Informatica
Working experience building sustainable data pipelines to Data Lakes, Data Warehouses, and Data Marts
Expertise in handling semi-structured and unstructured data
Big Data experience with distributed processing frameworks
Highly proficient in SQL
Proficient in Python and/or Spark for data engineering workloads
Highly experienced in working with relational and non-relational databases, including Snowflake
Strong knowledge of ingesting data from APIs, RDBMS, SaaS Application (CRM and ERP), Social Media and Realtime/Event streaming sources
Hands-on experience on DBT Transformation, Shell Scripting, Store procedures etc
Proficient in AWS services including S3, EC2, Lambda, IAM, VPC, Load Balancer, Glue, and RDS (Mandatory Hands-on AWS Glue)
End-to-end deployment of data pipelines using CI/CD processes
Experience or working knowledge of Terraform for infrastructure deployment
Strong understanding of data modeling — 3NF and dimensional modeling
Information systems design and solution design experience
Business analysis capabilities to translate requirements into data engineering solutions
Effective stakeholder management across technical and business audiences
Ability to mentor junior engineers, conduct code and design reviews, and foster a culture of continuous learning and improvement

Benefits

Comp & perks

Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role)
Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities
This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year
Career Development and Growth: By fostering a culture of continuous learning and skill development
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation
two company-wide Mental Health Days off
access to the Headspace app
retirement savings
tuition reimbursement
employee incentive programs
resources for mental, physical, and financial wellbeing
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more
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Hard Skills & Tools

data engineeringETLELTdata pipeline developmentdata modelingSQLPythonSparkInformaticaDBT

Soft Skills

stakeholder managementcommunicationmentoringcollaborationbusiness analysiscode reviewdesign reviewcontinuous learningproblem-solvingprioritization