senior specialist, data science

Randstad NV; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Randstad is seeking a FinOps database automation engineer to own the data foundation and end-to-end data pipelines in a hybrid/multi-cloud setup. You will integrate SaaS tools with financial platforms and collaborate with Finance, Cloud Architects, and TAMs to deliver scalable data solutions.

Ideal candidates have 5+ years in data engineering, strong Python/SQL, and hands-on GCP experience, plus CI/CD知道 GitLab for automated testing and deployments.

Qualifications

• 5+ years of experience as a Data Engineer, Big Data Engineer, or closely related technical role.
• Proven ability to work in ambiguous or changing situations and collaborate across global teams.
• Architect, build, and optimize scalable database models using Python and SQL, streamlining data pipelines.
• Hands-on experience with GCP (BigQuery, Cloud Run Function, Cloud Storage).
• Proven experience building RESTful API integrations and using automated testing pipelines (GitLab).
• Bachelor’s or Master’s degree in Computer Science, Informatics, or equivalent practical experience.

Responsibilities

• Own the FinOps data foundation model end-to-end, design and optimize data pipelines.
• Establish automated API integrations between SaaS tools and financial platforms.
• Collaborate with FinOps Engineers, Service Owners, TAMs, Cloud Architects, and Finance to translate requirements into data solutions.
• Continuously scale data foundation by adding data sources and improving query performance.

Skills

Python

SQL

Data pipelines

REST APIs

GitLab

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in Computer Science

Tools

BigQuery

Cloud Run Function

Cloud Storage

Job description

Every year, we help hundreds of thousands of people find rewarding jobs in the ever-changing world of work.

We understand the importance of a job in peoples lifes and we want to help them find work that feels good. And we’ll help them continue to grow as their needs and ambitions change.

At Randstad, our value comes from our people and that is why we put them first. We are proud of our learning culture and career architecture framework that encourages ours team to develop both personally and professionally.

We believe that talent grows when presented with opportunity and this is why we encourage our people to think beyond their role. We have created a culture that enables talent to flourish, encouraging entrepreneurship, fostering team spirit, and continually building mutual trust.

your key responsibilities include

as FinOps database automation engineer:

• Data foundation & architecture: Own the FinOps data foundation model end-to-end. Design, build, and optimize production data pipelines from ingestion to consumption within a hybrid/multi-cloud architecture.
• Automation & integration: Establish automated API integrations between SaaS tools, financial platforms and other sources like our CMDB to centralize billing and usage data.
• Cross-functional collaboration: Partner closely with FinOps Engineers, Service Owners, Technical Account Managers, Cloud Architects, and Finance department to translate financial requirements into technical data solutions.
• Continuous improvement: Continuously scale the data foundation by adding new data sources, optimizing query performance (normalization/indexing), and enforcing strict data quality standards.

your background

requirements & qualifications

• Experience: 5+ years of experience as a Data Engineer, Big Data Engineer, or in a closely related technical role.
• Collaboration: Proven ability to work effectively in ambiguous or changing situations and collaborate seamlessly across diverse individuals and global teams.
• Data Engineering & automation: Architect, build, and optimize scalable database models using Python and SQL, streamlining data pipelines and improving query performance.
• Cloud & Infrastructure: Hands-on experience with GCP (e.g. BigQuery/Cloud Run Function/Cloud storage)
• APIs & DevOps: Proven experience building RESTful API integrations and using automated testing pipelines (Gitlab)
• Education: Bachelor’s or Master’s degree in Computer Science, Informatics, or equivalent practical experience.

nice-to-haves

• FinOps certification
• GCP or AWS certifications
• Working knowledge within IT financial management or cloud cost optimization practices
• Data visualization knowledge (e.g. Tableau/Looker)

professional competencies

• Excellent written and verbal communication skills with the ability to convey complex technical data to non-technical stakeholders.
• Structured, analytical problem-solver who thrives in dynamic environments.
• Strong attention to detail and a persistent drive for data accuracy and quality.

skills

• Unsupervised Learning
• Supervised Learning
• SQL Databases
• Consulting
• Artificial Intelligence Markup Language (AIML)