Data Engineer

3 days ago

Mangalore, Karnataka, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Seeking an accomplished Data Engineer to craft, build and oversee our data infrastructure and pipelines.This role is perfect for someone who has a proven track record of delivering multiple projects using GCP-Big Query, Data Proc technologies.The ideal candidate will be a collaborative team player with excellent problem-solving skills, strong communication and organisational abilities.The most important aspect of this position is to work with someone who is passionate about leveraging data to drive positive change in healthcare.Data Architecture Expertise
  • Craft scalable and robust data architectures for enterprise data platforms and data warehousing.
  • Design and optimise data pipelines and ETL/ELT/CDC workflows using tools like Fivetran and Cloud Composer.
  • Collaborate with cross-functional teams to define data requirements and create logical and physical data models.
  • Manage and administer various database systems including BigQuery, SAP HANA and PostgreSQL.
  • Ensure data quality, integrity and security across all data platforms and pipelines.
  • Develop data serving layers and feature stores that support Vertex AI workloads.
  • Build reporting frameworks and data marts to support business intelligence needs.
  • Integrate data platforms with enterprise systems (CRMs, ERPs) and third-party APIs.
  • Develop data governance strategies and master data management processes.
  • Contribute to the full data lifecycle: requirements gathering, architecture, data modelling, development, testing and deployment.
  • Troubleshoot and resolve data platform issues to ensure high availability and optimal performance.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science or a related field.
  • Proficiency in one or more backend languages/frameworks with a strong preference for Python or Go.
  • Experience with building RESTful APIs and designing microservices for data delivery.
  • Solid understanding of data modelling fundamentals, including Kimball and Inmon methodologies.
  • Proficiency in writing complex SQL queries and experience with SQL and NoSQL databases.
  • Familiarity with data warehousing concepts and best practices, including CDC.
  • Strong version-control habits and experience with CI/CD pipelines.
  • Excellent problem-solving, communication and collaboration skills.
  • Passion for continuous learning and adapting to emerging data technologies.
Preferred Qualifications
  • Hands-on experience designing and deploying production-grade data warehouses.
  • Deep expertise in Google Cloud Platform (GCP):
  • BigQuery for large-scale analytical workloads.
  • Cloud Composer for orchestrating complex data pipelines.
  • Vertex AI for AI/ML model serving and feature stores.
  • Experience with other cloud providers (AWS, Azure) and their data services.
  • Working knowledge of data governance frameworks, master data management and data cataloging tools.
  • Experience with data ingestion tools like Fivetran.
  • Business-intelligence expertise in building dashboards and reports with Power BI or Tableau.
  • Familiarity with other data technologies such as SAP HANA.
  • Understanding of MLOps concepts and their application to data pipelines.
  • Contributions to open-source data projects or technical blogging/presentation.

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