Data Engineer

We are looking for a Snowflake Data Engineer in NYC with strong administration and engineering experience to manage, optimize, and support enterprise data platforms. The candidate should have hands-on expertise in Snowflake administration, along with experience in Databricks, requirement gathering, solution design, and documentation. Key Responsibilities: Manage and administer Snowflake environments, including user roles, access control, and security policies. Configure and maintain warehouses, databases, schemas, and resource monitors. Monitor system performance, query usage, and cost optimization. Implement data security, encryption, masking policies, and governance controls. Handle Snowflake account setup, backup, and disaster recovery strategies. Design and build scalable data pipelines using Snowflake and Databricks (PySpark/SQL). Develop and maintain ETL/ELT pipelines for structured and semi-structured data. Optimize SQL queries and performance tuning for large datasets. Support data ingestion via Snowpipe, Tasks, Streams, and external stages. Work with business stakeholders to gather data requirements and define technical solutions. Required Skills: Strong experience in Snowflake Administration Hands-on experience with Databricks / Spark / PySpark Advanced SQL (query optimization and tuning) Python / PySpark Experience with AWS / Azure / GCP Knowledge of cloud storage (S3, ADLS, etc.) Data warehousing and modeling (Star/Snowflake schema) Performance tuning and optimization Data governance and security best practices Experience with orchestration tools such as Airflow / Azure Data Factory Familiarity with Delta Lake / Lakehouse architecture Exposure to CI/CD tools and Git Knowledge of monitoring and alerting frameworks Bachelor's or Master's degree in Computer Science, Engineering, or related field #J-18808-Ljbffr