Data Engineering Consultant

📋 Description

• Design and deliver scalable data platforms and architectures for global clients.
• Build and optimize data solutions with Snowflake, Databricks, Redshift, Synapse.
• Create ETL/ELT workflows using Fivetran, Alteryx, and related tools.
• Design data lakes/lakehouses for batch and real-time pipelines.
• Collaborate with stakeholders to translate requirements into data solutions.
• Lead technical discussions and guide client-facing engagements.

🎯 Requirements

• 9+ years in data engineering, analytics consulting.
• 5+ years implementing Snowflake/Databricks/Redshift/Synapse.
• Cloud experience: AWS/Azure/GCP.
• ETL/ELT expertise with Fivetran, Alteryx, or similar tools.
• Designing data lakes/lakehouses and real-time pipelines.
• Advanced SQL and Python with 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 experts and stakeholders worldwide.
• Continuous learning through evolving data technologies and practices.