Data Engineering Consultant

The Data Engineering Consultant is responsible for designing, developing, and maintaining data systems and solutions that support analytics, reporting, and operational data needs. This includes building scalable data pipelines, ensuring data quality, and enabling business intelligence through robust engineering practices.

Key Responsibilities

• Develop and maintain ETL/ELT pipelines using tools such as Talend, Informatica, or native cloud services.
• Collaborate with data analysts, scientists, and business stakeholders to understand data requirements.
• Ensure data quality, integrity, and consistency across systems.
• Optimize data workflows for performance and scalability.
• Implement data governance and security protocols in compliance with enterprise standards.
• Support data modeling and architecture efforts for analytics platforms.
• Troubleshoot and resolve data-related issues in production and development environments.

Required Skills

• Proficiency in SQL and scripting languages (e.g., Python, Shell).
• Experience with cloud platforms (AWS, Azure, GCP) and data services.
• Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift).
• Strong understanding of data integration and transformation techniques.
• Ability to work independently and manage multiple priorities.

Preferred Qualifications

• Bachelors degree in Computer Science, Engineering, or related field.
• 5+ years of experience in data engineering or analytics.
• Exposure to Agile development and DevOps practices.
• Experience with big data technologies (Spark, Hadoop) is a plus.