Data Engineer

Job Title: Data Engineer (510 Years Experience)

Key Responsibilities:

• Develop and optimize scalable data pipelines and data models to support analytics and reporting needs.
• Design and implement robust ETL/ELT processes using modern tools and frameworks.
• Build and manage data warehousing solutions, particularly using Snowflake, for efficient data storage and retrieval.
• Collaborate with cross-functional teams to design data architectures tailored for customer analytics and personalization across marketing, sales, and customer service domains.
• Ensure data quality and consistency within Customer Data Platforms (CDP), Master Data Management (MDM), and Customer 360 frameworks.

Required Skills and Expertise:

• Proficiency in DBT (Data Build Tool), Snowflake, and Azure Cloud Services.
• In-depth understanding of data modeling, ETL/ELT processes, and modern data architecture frameworks.
• Strong knowledge of cloud-based data platforms, with Azure as a preference, and Big Data technologies for large-scale data processing.
• Hands-on experience with Python for data engineering tasks and automation.
• Proven ability to design scalable data architectures supporting business intelligence and analytics needs.
• Solid problem-solving skills and a track record of translating complex business requirements into effective data solutions.