Data Engineering Consultant

📋 Description

• Design scalable data platforms, analytics solutions, and modern architectures for global clients.
• Develop data solutions with Snowflake, Databricks, Redshift, and Azure Synapse.
• Build and maintain ETL/ELT workflows using Fivetran, Alteryx, and data integration tools.
• Design data lake/lakehouse architectures for batch and real-time processing.
• Work with AWS, Azure, and GCP to build secure, reliable data environments.
• Develop data pipelines, optimize performance, ensure scalability and reliability.

🎯 Requirements

• 9+ years in data engineering, data architecture, or analytics consulting.
• 5+ years implementing Snowflake, Databricks, Redshift, or Azure Synapse.
• Strong experience with AWS, Azure, or GCP.
• Proven ETL/ELT expertise with Fivetran, Alteryx, or similar tools.
• Experience designing data lake/lakehouse architectures for batch and real-time pipelines.
• Advanced SQL and Python (Pandas, NumPy, Matplotlib).

🎁 Benefits

• Fully remote work opportunity.
• Work on large-scale data engineering and analytics projects.
• Exposure to advanced cloud platforms and enterprise tech.
• Professional growth through challenging consulting engagements.
• Collaborate with technical experts and stakeholders worldwide.
• Continuous learning through evolving data technologies.