Job role: Data Engineer

Duration: 6 month

Location: Mays Landing, NJ 08330 able to visit client site - 3 days per month

Role Overview:

Client is seeking a Data Engineer with 3+ years of experience to support the design, development, and optimization of data solutions, primarily on the Snowflake platform. This role is hands-on and delivery-focused, working closely with senior engineers and business stakeholders to build reliable, scalable data pipelines and analytics-ready datasets.

Key Responsibilities:

• Develop and maintain data pipelines and data models in Snowflake
• Write, optimize, and troubleshoot SQL queries and Python-based data processes
• Support data warehouse development, including schema design and transformations
• Participate in the full SDLC: requirements gathering, development, testing, and QA
• Assist with monitoring platform performance, data quality, and pipeline reliability
• Troubleshoot data issues, perform root cause analysis, and document fixes
• Work collaboratively with engineering and business teams in a fast-paced environment

Required Skills & Experience:

• 3+ years of experience as a Data Engineer or similar role
• Hands-on experience with Snowflake (development, data loading, transformations)
• Strong SQL skills, including joins and analytical functions
• Working experience with Python for data processing or automation
• Exposure to data warehousing concepts and dimensional modeling
• Experience with orchestration tools such as Airflow, Informatica, or similar
• Familiarity with Azure data tools (ADF or equivalent)
• Basic understanding of metadata, data lineage, and data quality practices
• Experience using Git, Jira, and Confluence
• Strong communication skills and a team-oriented mindset

Nice to Have:

• Experience supporting Pharma or regulated environments
• Exposure to omni-channel or marketing data
• Basic shell scripting or scripting automation experience