Data Engineer

Description:

🚨 Hiring: Data Engineer | New York City, NY
📍 Location: New York City, NY, USA
💼 Experience: 3–4 Years
👨‍💻 Role: Data Engineer
Visa status : GC & USC Only

Job Description:
We are looking for a skilled Data Engineer with 3–4 years of experience to join our team in New York City. The ideal candidate should have hands-on experience in building data pipelines, developing ETL/ELT processes, and managing large datasets using modern data engineering technologies.

🔹 Required Skills & Qualifications:
3–4 years of experience in Data Engineering or a related role.
Strong proficiency in Python and SQL.
Hands-on experience with ETL/ELT pipelines and data integration.
Experience with Apache Spark and PySpark for large-scale data processing.
Knowledge of Apache Airflow for workflow orchestration and scheduling.
Experience with cloud platforms such as AWS, Azure, or GCP.
Familiarity with data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery.
Experience working with relational and NoSQL databases.
Understanding of data modeling, database optimization, and performance tuning.
Knowledge of data formats such as JSON, CSV, and Parquet.
Familiarity with Git, CI/CD, and Agile development practices.

🔹 Key Responsibilities:
Design, develop, and maintain scalable data pipelines.
Build and optimize ETL/ELT workflows to process structured and unstructured data.
Integrate data from multiple sources into centralized data platforms.
Ensure data quality, accuracy, reliability, and consistency.
Optimize SQL queries and data processing jobs for performance.
Collaborate with data analysts, data scientists, and other engineering teams.
Monitor pipeline performance and troubleshoot data-related issues.