Overview
Skills
Job Details
Must Have Technical/Functional Skills
Should possess working knowledge of data engineering concepts. Should have technical leadership skills and design
thinking along with good understanding of architecture patterns. Knowledge in Google Cloud Platform, Programming proficiency in
Spring and or Python framework is preferred. Experience in Healthcare domain is a plus.
Roles & Responsibilities
Design, implement, and manage robust, scalable, and cost-effective cloud-based data
architectures.
Data Architectural experience with knowledge of Big Query, Big Tables, Data Proc, Data
modeling, SQL processing, Pyspark, Python (or similar technologies) with hands on experience.
Data Architectural experience with hands on in performance, security, monitoring etc.
Data Modeling: Develop and maintain conceptual, logical, and physical data models to support
various business needs.
Design and implement solutions for processing large datasets
Data Governance: Establish and enforce data governance policies, including data quality,
security, compliance, and metadata management.
Data Pipelines: Build and optimize data pipelines for efficient data ingestion, transformation, and
loading.
Performance Optimization: Monitor and tune data systems to ensure high performance and availability.
Preferrable to have In-depth knowledge of Google Cloud Platform data services, including BigQuery, Cloud
Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer
Generic Managerial Skills, If any
Should be able to technically lead a team of 2-3 resources
Collaborate to work in onshore offshore model
Should be well versed with agile development
Ability to interact with Business and Customer IT stakeholders
Good Communication skills, interpersonal skills and analytical
Key Words to search in Resume
Data Architect, Data Modeling, Data Pipelines, Google Cloud Platform