Data Engineer - Promantis Inc

Data Engineer at the organization.

Key technologies: Apache Spark, SQL, Airflow.

Key Responsibilities

• Design and build scalable data pipelines and ETL workflows
• Maintain data warehouse infrastructure and optimize query performance
• Work with data scientists and analysts to deliver data products
• Ensure data quality, lineage and governance standards

Requirements

• 3+ years of relevant experience in data engineer
• Proficiency in SQL and Python for data engineering
• Familiarity with cloud data platforms (Databricks, Snowflake, BigQuery)