Senior Data Engineer

11 hours ago

Erode, Tamil Nadu, India beBeeDataEngineer Full time ₹ 1,20,00,000 - ₹ 2,00,00,000

As a senior data professional, you will lead the development of our enterprise data infrastructure.

You will be responsible for designing and implementing robust data pipelines, data warehouses, and analytics platforms that serve as the backbone of our digital marketing product development.

Collaborating with cross-functional teams, including data scientists and product managers, you will ensure seamless data flow from various marketing channels to our analytics dashboards and reporting systems.

You'll design scalable, reliable, and efficient data solutions that can handle high-volume marketing data processing and real-time campaign analytics.

Data Pipeline Development

  • Design and build robust, scalable data pipelines and ETL/ELT processes.
  • Develop data ingestion frameworks to collect data from various sources (databases, APIs, files, streaming sources).
  • Implement data transformation and cleaning processes to ensure data quality and consistency.
  • Optimize data pipeline performance and reliability.

Data Infrastructure Management

  • Design and implement data warehouse architectures.
  • Manage and optimize database systems (SQL and NoSQL).
  • Implement data lake solutions and data governance frameworks.
  • Ensure data security, privacy, and compliance with regulatory requirements.

Data Modeling and Architecture

  • Design and implement data models for analytics and reporting.
  • Create and maintain data dictionaries and documentation.
  • Develop data schemas and database structures.
  • Implement data versioning and lineage tracking.

Collaboration and Support

  • Work closely with data scientists, analysts, and business stakeholders.
  • Provide technical support for data-related issues and queries.

Monitoring and Maintenance

  • Implement monitoring and alerting systems for data pipelines.
  • Perform regular maintenance and optimization of data systems.
  • Troubleshoot and resolve data pipeline issues.
  • Conduct performance tuning and capacity planning.

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