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Job Description & How to Apply Below
Transform enterprise data challenges as a versatile Data Engineer. Engage directly with clients while developing robust ETL pipelines and data infrastructures for effective analytics and reporting.
This position involves 5+ years of experience in data engineering with a focus on designing reliable and scalable data solutions. You will tackle high-volume data ingestion and pipeline management using cloud environments. Strong programming skills in SQL and Python are essential for success in this role.
Key Responsibilities:
• Design and build scalable ETL/ELT pipelines on cloud platforms
• Develop and manage data warehouse solutions in Google Big Query
• Implement data models and ensure optimal performance
• Collaborate with stakeholders to align technical solutions with business needs
• Monitor and optimize data infrastructure for high reliability
Requirements:
• 5+ years of data engineering experience
• Strong SQL and Python programming skills
• Experience with cloud environments like GCP, AWS, or Azure
• Knowledge of ETL pipeline orchestration tools like Databricks
• Familiarity with database systems like MongoDB and Elasticsearch
Shape impactful data solutions that bridge the gap between technical execution and strategic business objectives.
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