Data Engineer (Python, SQL, DBT) - Remote

Overview

Our client is a leading Data Management and Analytics company that helps organizations implement optimal Data Management, Analytics, and Cloud solutions to meet their business challenges. We are a trusted service consulting provider specializing in Informatica, AWS, Azure, Snowflake, GCP, focusing on Big Data, Cloud, Data Integration, Data Quality, and Data Security solutions. As an Informatica Platinum Partner, we deliver innovative solutions to drive business growth for our clients.

In Short

• Develop and maintain robust data transformation pipelines using Python and SQL.
• Implement data models and schemas to ensure efficient storage and retrieval of information.
• Candidate should be able to perform and deliver under large and complex environments.
• Develop DBT models to transform data into useful, actionable information.
• Create Models and Identify Patterns.
• Build, test, and maintain database pipeline architectures.
• Ensure compliance with data governance and security policies.
• Collaborate with data engineers, data scientists, and business analysts to understand data requirements and deliver effective solutions.

Requirements

• Bachelors or Master’s degree and/or equivalent professional experience.
• 2-6 years of experience as Data Engineer (Python, SQL).
• Strong knowledge of DBT tool and its features and capabilities.
• Min 6 months to 1 year of hands-on experience in DBT (Data build tool) is a must.
• Experience working on Data warehouses like Snowflake, Redshift or equivalent.
• Experience working on any ETL tools like Informatica, Matillion, etc.
• Hands-on experience with SQL and database design.
• Strong understanding of basic data warehouse and ETL concepts.
• Should be an excellent team player, with strong communication and ownership skills.

Benefits

• Opportunity to work with a leading Data Management and Analytics company.
• Collaborative work environment with skilled professionals.
• Access to cutting-edge technologies and tools.
• Professional development and growth opportunities.