Data Engineering Consultant

📋 Description

• Design and deliver scalable data platforms and architectures for global clients.
• Build data pipelines and ETL/ELT with Snowflake, Databricks, Redshift, Synapse.
• Develop data lake/lakehouse architectures for batch and real-time processing.
• Collaborate with business and technical stakeholders to translate requirements.
• Lead technical discussions and guide delivery teams in client engagements.
• Contribute to continuous improvement of data engineering standards.

🎯 Requirements

• 9+ years in data engineering, data architecture, analytics consulting, or related roles.
• 5+ years implementing Snowflake, Databricks, Redshift, or Azure Synapse.
• Strong cloud experience (AWS/Azure/GCP).
• Proven ETL/ELT expertise with Fivetran, Alteryx.
• Experience designing data lake/lakehouse architectures for batch and real-time pipelines.
• Advanced SQL and Python (Pandas, NumPy).
• Knowledge of data governance, security, and compliance.
• Experience leading teams or consulting engagements in global delivery.

🎁 Benefits

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