Data Management professional at Kyndryl involved in creating innovative data solutions and ensuring the seamless operation of complex data systems. Collaborating with teams to transform requirements into scalable database solutions.
About the role
- Senior Data Engineer designing scalable data pipelines and solutions for Enterprise Data Lake at Thomson Reuters. Collaborating across teams to ensure efficient data ingestion and accessibility.
Responsibilities
- 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
- 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
- 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
- Make an impact in your community with our Social Impact Institute
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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