Enterprise Data Solutions Specialist

7 days ago

Thoothukudi, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Our team is seeking a skilled Data Architect to develop and govern our data architecture and pipelines.

This role is ideal for an individual who has worked on multiple projects with large-scale analytical workloads, robust data architectures, and enterprise data platforms.

Key Responsibilities
  • We require the successful candidate to design and implement scalable data architectures for data warehousing and enterprise data platforms.
  • The ideal candidate will develop and optimize data pipelines and ETL/ELT/CDC (Change Data Capture) workflows using tools such as Fivetran and Cloud Composer.
  • Collaboration with data scientists, product managers, and business stakeholders is essential to define data requirements and create logical and physical data models.
  • Database management and administration, including BigQuery, SAP HANA, and PostgreSQL, are key responsibilities.
  • Ensuring data quality, integrity, and security across all data platforms and pipelines is crucial.
  • Working with AI/ML teams to design data serving layers and feature stores that support Vertex AI workloads is also required.
  • Reporting frameworks and data marts should be designed and developed to support business intelligence needs.
  • Integration of data platforms with various enterprise systems (CRMs, ERPs) and third-party APIs is necessary.
  • Data governance, master data management, and data cataloging strategies should be defined and implemented.
  • Contribution to the full data lifecycle: requirements gathering, architecture, data modeling, development, testing, and deployment is expected.
  • Troubleshooting and resolving data platform issues to ensure high availability and optimal performance is essential.
Required Qualifications
  • A Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field is required.
  • 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 grasp of data modeling 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 (Git) 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 experience with Google Cloud Platform (GCP): BigQuery for large-scale analytical workloads, Cloud Composer for orchestrating complex data pipelines, and 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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