Description

You will build and maintain scalable data infrastructure and ETL pipelines to support large-scale data processing.

Responsibilities

• Design, implement, and optimize ETL processes to ingest and transform large datasets into data warehouses.
• Develop and maintain data models, schemas, and databases for reporting and visualization.
• Perform data cleansing, validation, and quality assurance to ensure accuracy and consistency.
• Monitor and optimize the performance, scalability, and reliability of data systems.
• Implement data governance policies to ensure security, privacy, and regulatory compliance.

Required Skills

• 5+ years of experience in a Data Engineer or similar role.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Strong programming proficiency in Python and SQL.
• Deep understanding of data warehousing technologies including AWS Redshift, Google BigQuery, Snowflake, or Azure.
• Hands-on experience with ETL tools such as SSIS, Azure Data Factory, Apache Spark, Talend, or Informatica.
• Expertise in data modeling, database design, and SQL query optimization.
• Proven ability to collaborate with cross-functional teams to define data requirements.

Preferred Skills

• Familiarity with data visualization tools like Tableau or Power BI.

Key Skills

Education

Bachelor's degree