A company is seeking an experienced Data Engineer to build and optimize cloud-based data platforms, production ETL/ELT pipelines, and ML/AI data infrastructure.
Job Overview
Job Summary
Key Responsibilities
Design, develop, and maintain production ETL/ELT pipelines.
Build and optimize cloud-based data platforms and data warehouses.
Support ML/AI operations by managing scalable data infrastructure.
Develop data solutions using Python, SQL, and PySpark.
Work with Databricks, Snowflake, and cloud technologies to improve data processing and analytics.
Ensure data quality, performance, security, and reliability across data platforms.
Required Qualifications
Strong experience with Python, SQL, and PySpark.
Hands-on experience with Databricks and/or Snowflake.
Experience working with cloud data platforms.
Proven experience building and maintaining production ETL/ELT pipelines.
Strong understanding of data engineering best practices and scalable data architecture.
Experience supporting ML/AI workflows is an advantage.
Skills & Competencies
Experience
None
Benefits & Perks
Work Schedule
Additional Information
How to Apply
Apply via Google Form
Fill out the Google Form to submit your application