Description :

Aays is a fast-growing data science and artificial intelligence firm that collaborates with Fortune 1000 companies to deliver innovative data-driven solutions.

Renowned for its expertise in leveraging AI to address complex challenges, Aays takes pride in making data more actionable and impactful for its clients.

With a commitment to driving business transformation, Aays is dedicated to empowering organizations with insights and strategies that promote growth and innovation.

Your team :

- You will act as a key member of the consulting team helping Clients to re-invent their corporate finance function by leveraging advanced analytics.

- You will be closely working directly with senior stakeholders of the clients designing and implementing data strategy in finance space which includes multiple use cases viz controllership, FP&A and GPO.

- You will be responsible for developing technical solutions to deliver scalable analytical solutions leveraging cloud and big data technologies.

- You will also collaborate with Business Consultants and Product Owners to design and implement technical solutions.

- Communication and organisation skills are keys for this position.

Responsibilities :

- Design and drive end-to-end data and analytics solution architecture from concept to delivery on Google Cloud Platform (Azure and GCP).

- Design, develop, and support conceptual, logical, and physical data models for advanced analytics and ML-driven solutions.

- Ensure integration of industry-accepted data architecture principles, standards, guidelines, and concepts with other domains, along with coordinated roll-out and adoption strategies.

- Drive the design, sizing, provisioning, and setup of Azure and GCP environments and related services such as BigQuery, Dataflow, and Cloud Storage.

- Provide mentoring and guidance on Azure and GCP-based data architecture to engineering, analytics, and business teams.

- Review solution requirements and architecture for appropriate technology selection, efficient resource utilization, and effective integration across systems and technologies.

- Advise on emerging Azure and GCP trends and services, and recommend adoption strategies to maintain competitive edge.

- Actively participate in pre-sales engagements, PoCs, and contribute to publishing thought leadership content.

- Collaborate closely with the founders and leadership team to shape and drive the organizations cloud and data strategy.

Experience Needed :

- Demonstrated experience in delivering multiple data and analytics solutions on Azure and GCP.

- Hands-on experience with data ingestion, processing and orchestration tools such as Dataflow, Pub/Sub, Dataproc, Cloud Composer, and Data Fusion.

- Deep expertise with Azure and GCP data warehousing and analytics services including BigQuery, Cloud Storage, and Looker.

- Familiar with Data Mesh, Data Fabric and Data products, Data Contracts and experience in data mesh implementation.

- Strong understanding and practical experience with different data modelling techniquesRelational, Star, Snowflake, DataVault etc and working with transactional, time-series, and unstructured datasets.

- Experience with enterprise data management i.e Data Quality, Metadata management, Data governance, Data Observability using Azure and GCP-native or third-party tools.

- Experience in design and implementation of event driven architecture and tools like google pub -sub or Kafka will be an added advantage.

- Familiar with AI, GenAI concepts and Vertex AI.

- Solid grasp of operational dependencies and integration across applications, networks, security, and infrastructure in the cloud including IAM, VPCs, VPNs, firewall rules, GKE, and service accounts.

- Strong foundation in computer science or software engineering, with expertise in software development methodologies and Dev/Data Ops and CI/CD.

- Practical experience using tools such as Terraform, Cloud Build, GitHub Actions, and scripting via Python, Bash etc.

- Familiar with software development lifecycle and cloud-native application development.

- Remains hands-on with technology and stays current with industry trends and GCP service evolution.

- Demonstrated hands-on experience coding in Python, SQL, and Spark, with the flexibility to pick up new languages or technologies quick.

- Azure and GCP professional data engineer certification will be an added advantage.