| Data Engineer -Need only locals to NY at New York, New York, USA |
| Email: ryan@nityainc.com |
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https://jobs.nvoids.com/job_details.jsp?id=2095542&uid= From: Nitya, Nitya software solution ryan@nityainc.com Reply to: ryan@nityainc.com Job Title: Data Engineer Location: New York, NY C2C Need only locals to NY Job Summary We are seeking a highly skilled Data Engineer to join our team and help build, maintain, and optimize our data infrastructure. The ideal candidate will have expertise in designing scalable data pipelines, managing data warehouses, and working with large datasets. You will collaborate with data scientists, analysts, and software engineers to ensure seamless data flow and integration. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion and processing. Build and optimize data warehouses and data lakes to support analytics and business intelligence. Ensure data quality, consistency, and governance across various data sources. Work with cloud platforms (AWS, GCP, Azure) to deploy and manage data infrastructure. Develop real-time and batch data processing solutions. Collaborate with data analysts and scientists to optimize data models and improve query performance. Implement data security and compliance measures in line with industry best practices. Automate data workflows and optimize performance for efficiency and cost-effectiveness. Required Skills & Qualifications Bachelors/Masters degree in Computer Science, Data Engineering, or a related field. 3+ years of experience in data engineering or related roles. Proficiency in SQL and database management systems (PostgreSQL, MySQL, Redshift, Snowflake, etc.). Strong programming skills in Python, Java, or Scala for data processing. Experience with big data technologies (Hadoop, Spark, Kafka, etc.). Hands-on experience with cloud platforms (AWS, GCP, or Azure) and services like S3, BigQuery, Lambda, Databricks, etc. Experience with workflow orchestration tools like Apache Airflow, Prefect, or Luigi. Familiarity with CI/CD pipelines and infrastructure as code (Terraform, Docker, Kubernetes) is a plus. Preferred Qualifications Experience with machine learning pipelines and MLOps. Knowledge of data governance frameworks and GDPR, HIPAA, or other compliance standards. Strong problem-solving skills and ability to work in a fast-paced environment. Benefits Competitive salary and performance-based incentives. Flexible work arrangements (remote/hybrid). Health, dental, and vision insurance. Learning and development opportunities. Stock options or equity (if applicable). Keywords: continuous integration continuous deployment sthree New York Data Engineer -Need only locals to NY ryan@nityainc.com https://jobs.nvoids.com/job_details.jsp?id=2095542&uid= |
| ryan@nityainc.com View All |
| 12:51 AM 21-Jan-25 |