Data Engineer

Smart Sense Services

As a Data Engineer, you will be at the core of the company s data ecosystem, ensuring the data infrastructure is efficient, scalable, and reliable. You ll be responsible for developing, optimizing, and maintaining data pipelines that deliver valuable insights for both the product and various business functions.

Responsibilities include:

• Building and maintaining data pipelines that collect, store, and transform data from various sources.
• Working closely with the Data Analysts and BI Developers to ensure data availability and accessibility.
• Implementing best practices for data storage, ensuring high data quality, and building automated validation checks.
• Scaling the company s data infrastructure as they grow, ensuring the performance and reliability of data systems.
• Assisting in data modeling efforts to build a clean and efficient data architecture.

Tech Stack :

• Cloud Platforms: Google Cloud Platform, AWS, or Azure.
• Data Storage: BigQuery, Snowflake, or other scalable cloud databases.
• ETL Pipelines: Airflow, dbt, or similar.
• Programming Languages: Python, SQL.