Senior Data Platform Engineer

About us: Accuris, a company long-known for accelerating innovation in engineering workflows and supporting the vibrancy of the engineering community, launched in May 2023 as a standalone company. Accuris was formerly known as S&P Global's Engineering Solutions division. The Company is valued for its standards content and workflow solutions like Engineering Workbench, Goldfire, Haystack and Parts Management Solutions.
Under its previous owners, including S&P Global, IHS and IHS Markit, Accuris has been an integral part of the engineering ecosystem for more than 60 years.
Senior Data Platform Engineer
Position Summary
Accuris is seeking an adept, action-oriented Senior Data Platform Engineer based in Bangalore, India who will report to the Principal Data Platform Engineer for our currently digital transformation solution. The candidate has experience deploying big data technologies and infrastructure (e.g. Databricks, Spark, ETL, NLP, LLM), building frameworks atop to facilitate autonomous use for internal customers, and abstracting production solutions so they feel like "magic" for stakeholders such that things "just fall into place." As Senior Data Platform Engineer, you are hands-on, data-driven, and highly collaborative. You should enjoy being "full stack" in the sense that you own a product from beginning to end by designing, constructing, integrating, testing, documenting, and supporting your creations. You have a passion for engineering best-practices and the ability to lucidly communicate with fellow engineers as well as non-technical colleagues. You don't just subscribe to a single language or paradigm but are dedicated to learning new tools, technologies, and design patterns.
Job Responsibilities

• Develop and deploy production-grade services, SDK's, and data infrastructure emphasizing performance, scalability, and self-service.
• Assume a leadership role in developing solutions with experience in continuous delivery, immutable deployments, containerization, and micro-service architectural patterns.
• Are "biased to action" and not easily blocked by problems and difficulties, instead taking ownership
• Believe in monitoring, QA, and security as a first-class citizen in any data product.
• Excited to build data platforms and tools that abstract implementation details for developers, analysts, and data scientists, enabling data transit and storage "as a service."
• Dedicated to automation, documentation, and collaboration at all stages of the engineering workflow.
• Passionate about mentoring colleagues and educating the organization on data engineering best practices.
• Maintain a firm understanding of the business long term goals and strategy to inform system implementation - able to see the forest through the trees.

Education / Experience

• Degree in Computer Science, related field or equivalent experience.
• Four (4) or more years of increasing responsibility in technical data roles, with 1 or more years of experience in guiding a data engineer team.
• Experience in productionizing various big data technologies both open source and cloud native, Azure preferred (Kafka, Databricks, Spark/pyspark, pandas, ETL).
• Expertise in utilizing Python as a data language to transform classic ETL batching to modern data event-based pipelines
• Expertise in data model design with sensitivity to usage patterns and goals - schema, scalability, immutability, idempotency, etc.
• Expertise in at least two of the following languages - Scala, Java, Python, Go.
• Experience in the full suite of NoSQL models and frameworks.
• Experience with CI/CD related to automated database deployment and loading practices
• Experience in machine learning is an advantage - specifically information extraction models
• Track record of choosing the right transit, storage, and analytical technology to simplify and optimize user experience.
• Real-world experience developing highly scalable solutions using micro-service architecture designed to democratize data to everyone in the organization.
• Able to function autonomously and successfully in ambiguous situations.

About Company Statement:
Accuris delivers essential intelligence that powers decision making. We provide the world's leading organizations with the right data, connected technologies and expertise they need to move ahead. We think differently, combining the knowledge and resources of an established company with the unapologetic boldness of a startup. (https://www.spglobal.com/engineering/en/index.html)
Our mission: build an evolvable knowledge and data platform that enables STEM professionals to unlock and deliver innovation to the world's most complex problems.
Accuris provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Other details

• Job Family - Software Development/Engineering
• Job Function - Information Technology
• Pay Type - Salary
• Employment Indicator - Regular