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Lead Data Engineer

πŸ“… Jul 14
Data EngineeringData AnalyticsSnowflakePython

πŸ“œ Description

  • Design, develop, and maintain data pipelines to ingest, transform, and normalize data from multiple sources.
  • Lead the design and implementation of data ingestion architectures in Snowflake, ensuring scalability and reliability.
  • Apply best practices in data validation to ensure accuracy, consistency, and reliability across datasets.
  • Perform data transformation and normalization to support analytics and reporting use cases.
  • Work with large datasets using SQL and Python to process and analyze data efficiently.
  • Collaborate with business and technical stakeholders to understand data requirements and translate them into scalable solutions.

πŸ› οΈ Requirements

  • 4+ years of experience in Data Engineering or Data Analytics roles with strong engineering focus.
  • Strong hands-on experience with Snowflake.
  • Strong hands-on experience with Python for data processing and transformation.
  • Strong experience with SQL and working with large-scale datasets.
  • Proven experience in data validation, data transformation, and normalization.
  • Experience building and maintaining ETL pipelines and handling data ingestion workflows.
  • Strong attention to detail with a focus on data quality and reliability.

✨ Benefits

  • πŸ“š Learning Opportunities:&#xa0
  • Access to AI learning paths to stay up to date with the latest technologies.&#xa0
Dragos

Principal Data Engineer

DragosπŸ‘₯ 201 - 500 employees🏒 Computer & Network Security
πŸ•’ 10 days ago

As a Principal Data Engineer, you will lead efforts to modernize data systems, create sustainable data contracts, and implement scalable data pipelines for enhanced analytics and product solutions.

Data EngineeringData Pipeline DesignData GovernanceReal-time Data Processing
Sgs

Finance Data & BI Technical Lead (Azure | Snowflake | Power BI)

SgsπŸ‘₯ 10,000+ employees🏒 Information Technology And Services
πŸ“… Jun 18

You will lead a BI delivery team and act as the technical authority for Finance data products built on Snowflake, DBT, Azure Data Factory and Power BI .

Azure Data FactorySnowflakeDBTPower BI

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