Description

You will build scalable, secure data platforms and pipelines to power intelligent applications.

Responsibilities

• Build and maintain scalable data pipelines and cloud data warehouses.
• Develop complex SQL queries and stored procedures while optimizing performance for large datasets.
• Design data models and architecture diagrams based on technical requirements.
• Implement data quality initiatives, monitoring, and auditing processes.
• Oversee the design of interactive data visualizations and reports using tools like Looker, Tableau, or Power BI.

Required Skills

• 5+ years of experience in Data Engineering or ELT Engineering roles.
• Expert-level proficiency in SQL, including complex query development.
• Extensive experience with Snowflake and DBT.
• Proficiency in Python and Apache Airflow (including DAG construction).
• Hands-on experience with AWS and Astronomer.
• Experience handling unstructured datasets including Parquet, JSON, Avro, and XML.
• Strong understanding of CI/CD, DevOps practices, and software testing.
• Proficiency with GitHub for version control.
• Experience with data visualization tools such as Tableau or Power BI.

Preferred Skills

• Experience with Looker or custom visualization libraries.

Key Skills

Education

Any Gradute