Senior Business Intelligence Engineer

2 days ago

Chennai, Tamil Nadu, India beBeeData Full time US$ 15,00,000 - US$ 20,00,000

Job Overview

As a seasoned Data Architect, you will play a pivotal role in helping Fortune 1000 companies unlock the full potential of their data. With a strong focus on AI-powered decision intelligence, our team empowers organizations to make informed decisions and drive business growth.

Key Responsibilities:

  • Collaborate with clients to design and implement cutting-edge data solutions that drive business value.
  • Develop scalable analytical solutions leveraging cloud and big data technologies.
  • Work closely with business consultants and product owners to deliver technical solutions that meet business objectives.

Technical Requirements:

  • Design and drive end-to-end data and analytics solution architecture from concept to delivery on Google Cloud Platform (GCP).
  • Develop conceptual, logical, and physical data models for advanced analytics and ML-driven solutions.
  • Ensure integration of industry-accepted data architecture principles with other domains, along with coordinated roll-out and adoption strategies.

Required Skills & Experience:

  • Demonstrated expertise in delivering multiple data and analytics solutions on GCP.
  • Hands-on experience with data ingestion, processing, and orchestration tools such as Dataflow, Pub/Sub, Dataproc, Cloud Composer, and Data Fusion.
  • Deep understanding of GCP data warehousing and analytics services including BigQuery, Cloud Storage, and Looker.

Benefits:

  • Opportunity to work with Fortune 1000 companies and drive business growth through data-driven decision making.
  • Chance to collaborate with a talented team of professionals and learn from industry experts.
  • Professional development opportunities to enhance your skills and career prospects.

Additional Requirements:

  • Strong understanding of different data modeling techniques—Relational, Star, Snowflake, DataVault etc. and working with transactional, time-series, and unstructured datasets.
  • Experience with enterprise data management i.e. Data Quality t, Metadata management, Data governance, Data Observability using GCP-native or third-party tools.

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