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155 Reuters News Jobs

Senior Software Engineer, Data Platform

5-8 years

Bangalore / Bengaluru

1 vacancy

Senior Software Engineer, Data Platform

Reuters News

posted 2mon ago

Job Description

The Core AI BI & Data Platforms Team has been established to create, operate and run the Enterprise AI, BI and Data that facilitate the time to market for reporting, analytics and data science teams to run experiments, train models and generate insights as we'll as evolve and run the CoCounsel application and its shared capability of CoCounsel AI Assistant.
The Enterprise Data Platform aims to provide self service capabilities for fast and secure ingestion and consumption of data across Thomson Reuters.
At Thomson Reuters, we are recruiting a team of motivated Cloud professionals to transform how we build, manage and leverage our data assets. The Data Platform team in Bangalore is seeking an experienced Senior Software Engineer with a passion for engineering cloud-based data platform systems.
Join our dynamic team as a Senior Software Engineer and take a pivotal role in shaping the future of our Enterprise Data Platform. You will design and implement data processing applications and frameworks on cloud-based infrastructure, ensuring the efficiency, scalability, and reliability of our systems.
 
About the Role
In this opportunity as the Senior Software Engineer, you will:
  • Design and Develop data warehousing functionality including the use and management of Snowflake data warehouse and the surrounding entitlements, pipelines in AWS cloud-based infrastructure and monitoring, in partnership with Data Analysts and Architects.
  • Mentor and lead team members in implementation of our advanced technology solutions for the data lake and surrounding functionality.
  • Innovate with new approaches to meeting data management requirements. Make recommendations about platform adoption, including technology integrations, application servers, libraries, and frameworks.
  • Partner across the company with analytics teams, engineering managers, architecture teams and data scientists to design and agree on solutions that meet business requirements.
  • Effectively communicate and liaise with other data management teams embedded across the organization and data consumers in data science and business analytic groups.
  • Utilize your experience in the following areas:
    • AWS Cloud Data practices and DevOps tooling
    • Data Management and Data warehousing processing capabilities
    • Metadata Repositories, Information & Data Catalogs
    • Data governance as it applies to security and privacy
    • Data Security, Privacy, and Compliance
About You
  • Bachelors degree in computer science, Engineering, or a related field with 6+ years of relevant experience in Implementation of data warehouse and data management of data technologies for large scale organizations.
  • Experience in designing, developing, and deploying data processing applications and frameworks on cloud-based infrastructure (like AWS, Python, Java)
  • Experience in designing large-scale, complex applications with excellent run-time characteristics such as low-latency (API), fault-tolerance and consistent availability (Disaster Recovery)
  • Experience in Automation of Data Ingestion frameworks by building & consuming APIs (using Python/Lambda/API Gateway)
  • Experience in AWS & Snowflake Infrastructure upgrade and management (Drivers & Connector version upgrade for continued support from third party applications)
  • Experience in creation of frameworks that enable quick and efficient data acquisition.
  • Experience in AWS services and management, including Serverless, Container, Queueing and Monitoring services like Lambda, ECS, API Gateway, RDS, Dynamo DB, Glue, S3, IAM, Step Functions, CloudWatch, SQS, SNS.
  • Experience in Software development practices such as version control via Git, CI/CD and Release management
  • Proficient in programming languages like Python & Java, Snowflake cloud data platform
  • Agile development cadence
  • Fluency in querying languages such as SQL
  • Business Intelligence tools like PowerBI

  • 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
  • we'llbeing: 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 we'llbeing.
  • 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 caf 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.

Employment Type: Full Time, Permanent

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