Data Engineer designing, building, and maintaining scalable data platforms and pipelines at Kyndryl. Utilizes Azure cloud solutions and adheres to modern software development practices.
About the role
- Software Engineer designing and developing scalable data processing applications on cloud infrastructure for Thomson Reuters. Collaborating with Data Analysts on AI-enabled solutions for data management and insight generation.
Responsibilities
- Design and develop scalable data processing applications and frameworks on cloud infrastructure
- Collaborate closely with Data Analysts and Architects under the guidance of a Lead Software Engineer
- Utilize AI‑powered tools to accelerate solution development
- Build AI‑enabled solutions that support seamless data ingestion, consumption, and insight generation for business users
- Drive innovation by proposing new approaches
- Participate in code reviews to ensure high code quality, maintainability, and adherence to engineering best practices
- Define requirements, design solutions, and deliver new features
- Communicate effectively and partner with data platform and data management teams
- Stay current with emerging trends and advancements
Requirements
- Bachelor’s degree in computer science, Engineering, or a related field
- 3+ years of relevant experience in Implementation of data lake and data management of data technologies for large scale organizations.
- Data Engineer with Python, SQL, Snowflake, Data quality, Data governance
- Experience in building & maintaining data pipelines with excellent run-time characteristics such as low-latency, fault-tolerance and high availability.
- Proficient in Python programming language.
- Business Intelligence tools like PowerBI, PowerApp, Data Governance
- Experience in AWS services including Serverless, Container, Queueing and Monitoring services like Lambda, ECS, API Gateway, RDS, Dynamo DB, Glue, S3, IAM, Step Functions, CloudWatch, SQS, SNS.
- Good knowledge in Consuming and building APIs
- Familiarity with AI/ML concepts, including integrating AI or GenAI capabilities into data platforms for data ingestion, consumption and governance.
- Hands‑on experience using AI‑assisted development tools or frameworks to improve developer productivity and solution efficiency.
- Fluency in querying languages such as SQL
- Strong understanding of software development practices such as Git‑based version control, CI/CD automation, and release management leveraging GitHub Copilot and Terraform.
- Agile development cadence.
Benefits
- 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
- Career Development and Growth: By fostering a culture of continuous learning and skill development
- Industry Competitive Benefits: Comprehensive benefit plans to include flexible vacation, Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
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