KlearNow

Data Engineer

KlearNow

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftCloudETLMongoDBMySQLNoSQLPySparkPython

About the role

  • Consume and extract data from relational databases (like MySQL) and NoSQL databases (like MongoDB).
  • Build and maintain data ingestion pipelines using integration platforms (like Hevo) to move data from source systems.
  • Transform and process data using Python and distributed processing frameworks (like PySpark) for warehouse optimization.
  • Design and implement efficient data loading strategies into cloud data warehouses (like Amazon Redshift).
  • Develop data transformation models and workflows using modern ETL frameworks (like dbt).
  • Optimize warehouse schemas and queries for Business Intelligence consumption.
  • Collaborate with database administrators and analysts to ensure seamless data flow.
  • Monitor and troubleshoot data pipelines from source databases through to the data warehouse Ensure data quality, consistency, and governance throughout the ingestion process.
  • Support BI teams with data warehouse preparation and access patterns

Requirements

  • Strong proficiency in Python programming.
  • Experience with distributed data processing frameworks for transformation and processing
  • Hands-on experience with relational database querying and administration.
  • Experience with cloud data warehouse design and optimization.
  • Experience with data integration platforms.
  • Experience with Business Intelligence tools (like PowerBI)
  • Preferred Qualifications:
  • Experience with advanced BI platforms (like ThoughtSpot) is a significant advantage.
  • NoSQL database experience for diverse data extraction and processing.
  • Experience with modern ETL modeling tools.
  • Advanced cloud data warehouse performance tuning and optimization.
  • Experience with enterprise data integration pipeline configuration and management.