Senior Cloud Data Solutions Engineer

4 hours ago

Hubli, Karnataka, India beBeeData Full time US$ 12,00,000 - US$ 20,00,000
Cloud Data Architect

We are a boutique AI and data engineering firm that empowers Fortune 1000 companies through AI-powered decision intelligence—especially in finance and supply chain transformation—delivering financial benefits while fostering a highly developed people-first culture.

Key Responsibilities:

  • You will act as a key member of the consulting team helping clients to re-invent their corporate finance function by leveraging advanced analytics.
  • Design and drive end-to-end data and analytics solution architecture from concept to delivery on Google Cloud Platform (GCP).
  • Develop technical solutions to deliver scalable analytical solutions leveraging cloud and big data technologies.
  • Collaborate with Business Consultants and Product Owners to design and implement technical solutions.

Technical Skills and Expertise

  • Hands-on experience with data ingestion, processing, and orchestration tools such as Dataflow, Pub/Sub, Dataproc, Cloud Composer, and Data Fusion.
  • Deep expertise with 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 techniques—Relational, 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 GCP-native or third-party tools.

Education and Qualifications

  • 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.

Personal Qualities

  • 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 quickly.

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