MUST HAVE 3+ years of Snowflake ETL and Data Warehousing Experience Work Model & Expectations • Hybrid role: remote with on-site work at the client’s New Jersey office 3–4 consecutive days per month About the Company We are a rapidly growing technology consulting firm specializing in advanced data engineering, cloud architecture, and analytics-driven solutions. Our mission is to empower global enterprises to transform their data into actionable insights through innovative platforms and scalable infrastructure. We value continuous learning, teamwork, and excellence in engineering across all our engagements. Job Summary We are looking for an experienced Senior Data Engineer to join our team. In this role, you will design, build, and manage robust and scalable data architectures using Snowflake, Python, SQL, and orchestration tools. You will work closely with cross-functional teams to enable high-performance data solutions that support analytics, reporting, and enterprise-wide business intelligence initiatives. Key Responsibilities • Design and implement enterprise-scale data solutions using Snowflake • Build and maintain robust ETL/ELT pipelines for structured and unstructured data • Develop Python and SQL-based data transformations for analytics and reporting • Optimize Snowflake-based data warehouses to support BI initiatives • Use Spark, Scala, and Python to implement scalable ingestion and processing pipelines • Automate data workflows with orchestration tools such as Airflow or Automic • Manage metadata, data lineage, and governance to ensure data quality and compliance • Apply advanced SQL analytical functions for deep data insights • Develop automation scripts using shell scripting and JavaScript • Implement CI/CD practices and performance engineering strategies • Collaborate using tools like Git, Confluence, and Jira • Troubleshoot data issues and develop preventive measures to ensure reliability • Work cross-functionally to align data strategy with business needs Required Qualifications & Experience • 8+ years of experience in data engineering and enterprise data architecture • 3+ years of hands-on experience with Snowflake • 3+ years of professional Python development experience • Strong command of SQL and Python for data transformation and processing • Experience with Spark and Scala in production environments • Practical knowledge of orchestration tools like Airflow or Automic • Familiarity with metadata management and data lineage principles • Proven experience in agile and fast-paced delivery environments • Excellent problem-solving, communication, and teamwork skills