Data Engineer
Data Engineer
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1 Vacancy
Job Description
Location: Framingham MA (Onsite role from day 1; need local candidates)
Duration: 6 Month
Must have skills: Snowflake Python and SQL.
Key Responsibilities:
Implement data solutions across Marketing Sales and Customer Service using technologies such as DBT Snowflake and Azure.
Design and optimize data pipelines that integrate various data sources (1st party 3rd party operational) to support business intelligence and advanced analytics.
Develop data models and data flows that enable personalized customer experiences and support omnichannel marketing and customer engagement.
Lead efforts to ensure data governance data quality and data security adhering to compliance with regulations such as GDPR and CCPA.
Implement and maintain data warehousing solutions in Snowflake to handle largescale data processing and analytics needs.
Optimize workflows using DBT to streamline data transformation and modeling processes.
Leverage Azure for cloud infrastructure data storage and realtime data analytics while ensuring the architecture supports scalability and performance.
Collaborate with crossfunctional teams including data engineers analysts and business stakeholders to ensure data architectures meet business needs.
Support both realtime and batch data integration ensuring data is accessible for actionable insights and decisionmaking.
Continuously assess and integrate new data technologies and methodologies to enhance the organizations data capabilities.
Qualifications:
7 years of experience in Data Engineering with specific expertise in DBT Snowflake and Azure.
Strong understanding of data modeling ETL/ELT processes and modern data architecture frameworks. Experience designing scalable data architectures for personalization and customer analytics across marketing sales and customer service domains.
Expertise with cloud data platforms (Azure preferred) and Big Data technologies for largescale data processing.
Handson experience with Python for data engineering tasks and scripting.
Proven track record of building and managing data pipelines and data warehousing solutions using Snowflake.
Familiarity with Customer Data Platforms (CDP) Master Data Management (MDM) and Customer 360 architectures.
Strong problemsolving skills and ability to work with crossfunctional teams to translate business requirements into scalable data solutions.
Bachelors degree in Computer Science Data Engineering or a related field; Masters degree preferred.
Preferred:
Experience working with AI/ML models for customer analytics and personalization.
Knowledge of data privacy and compliance regulations (GDPR CCPA).
Employment Type
Full Time
