Data Engineering Leader

6 days ago

Mysore, Karnataka, India beBeeDataEngineering Full time ₹ 18,00,000 - ₹ 22,00,000
Job Description

We are seeking a skilled Data Engineering Leader to design and develop our data architecture and pipelines. Ideally, someone with experience in multiple projects involving cloud-based data warehousing and data processing technologies.

The ideal candidate will be collaborative, organized, think outside the box, and eager to explore new opportunities. Above all, this role is for an individual who is passionate about making a difference through healthcare.

  • Key Responsibilities:
  • Design and implement scalable and robust data architectures for data warehousing and enterprise data platforms.
  • Develop and optimize data pipelines and ETL/ELT/CDC workflows using Fivetran and Cloud Composer.
  • Collaborate with data scientists, product managers, and business stakeholders 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.
  • Work with AI/ML teams to design data serving layers and feature stores that support Vertex AI workloads.
  • Design and develop reporting frameworks and data marts to support business intelligence needs.
  • Integrate data platforms with enterprise systems (CRMs, ERPs) and third-party APIs.
  • Define and implement data governance, master data management, and data cataloging strategies.
  • Contribute to the full data lifecycle: requirements gathering, architecture, data modeling, development, testing, and deployment.
  • Troubleshoot and resolve data platform issues to ensure high availability and optimal performance.
Required Skills and 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, preferably Python or Go.
  • Experience 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 and experience with CI/CD pipelines.
  • Excellent problem-solving, communication, and collaboration skills.
  • Passion for continuous learning and adapting to emerging data technologies.
Benefits

This role offers a unique opportunity to lead a team of skilled engineers and make a significant impact on the organization's data strategy. The ideal candidate will have excellent leadership skills, a strong technical background, and a passion for innovation.

Others

We value diversity, equity, and inclusion and strive to create a workplace where everyone feels welcome and valued. If you are passionate about data engineering and leading a team, we encourage you to apply for this exciting opportunity.

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