Title - Senior Data Engineer
Location-Onsite @NYC-Need Locals
Duration Contract
Design, build, and deployment of data pipelines and backend services, Snowflake data modeling, and strong data engineering experience.
Job Summary
We are seeking a Senior Data Engineer to design, build, and deploy scalable data pipelines and backend data services. The ideal candidate will have strong hands-on experience in Snowflake data modeling, modern data engineering practices, and building reliable, high-performance data platforms that support analytics and business intelligence.
Key Responsibilities
• Design, build, and deploy end-to-end data pipelines for large-scale data processing.
• Develop and maintain backend data services and APIs to support data consumption.
• Perform Snowflake data modeling, including schema design, optimization, and performance tuning.
• Implement ELT/ETL processes for structured and semi-structured data sources.
• Optimize data storage, query performance, and cost efficiency in Snowflake.
• Ensure data quality, reliability, security, and governance across pipelines.
• Collaborate with Data Scientists, Analysts, and Business stakeholders to understand data needs.
• Implement monitoring, logging, and alerting for data pipelines.
• Support CI/CD pipelines for data engineering deployments.
• Document data flows, architectures, and best practices.
Required Skills & Qualifications
• 10+ years of experience in Data Engineering or related roles.
• Strong hands-on experience with Snowflake (data modeling, performance tuning, security).
• Expertise in SQL and data transformation techniques.
• Proficiency in Python and/or Java for backend data processing.
• Experience building scalable ETL/ELT pipelines.
• Knowledge of data orchestration tools (Airflow, Azure Data Factory, or similar).
• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
• Familiarity with CI/CD, Git, and DevOps practices.
• Strong problem-solving and communication skills.
Nice to Have
• Experience with streaming technologies (Kafka, Kinesis).
• Exposure to dbt or modern transformation frameworks.
• Experience in large-scale enterprise or regulated environments.
• Knowledge of data governance and metadata management tools.
Regards,
Sai Srikar
Email:
