What are the responsibilities and job description for the Senior Data Engineer-Onsite @NYC-Need Locals position at Cyber Sphere LLC?
Job Details
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:
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