Data engineer (7+ yrs, Snowflake, Spark, Python, SQL, ETL/ELT, Data pipelines, Data modeling, Performance tuning, Cloud, Airflow)

Position – Data Engineer – Python ,Spark & Snowflake

Location – NYC, NY

Duration – 12+ Months

Note: Any discrepancy or forged document found during verification will lead to immediate profile rejection.

Must-Have Skills:
Snowflake | Spark | Python | SQL | ETL/ELT | Data Pipelines | Snowflake Streams & Tasks | Data Modeling | Performance Tuning | Cloud | Airflow

Job Description:

·         Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using Snowflake and Python.

·         Develop complex SQL queries, stored procedures, views, and data transformations within Snowflake.

·         Build and optimize data ingestion pipelines using Python, Snowpipe, Streams, Tasks, and Snowflake utilities.

·         Integrate data from multiple sources such as APIs, databases, cloud storage, and enterprise applications into Snowflake.

·         Perform data modeling, performance tuning, data quality validation, and troubleshooting for large-scale data environments.

·         Collaborate with data architects, analysts, and application teams to translate business requirements into reliable data solutions.

·         Implement best practices around security, access controls, monitoring, logging, and CI/CD for data engineering workflows.

·         Experience with AWS/Azure/Google Cloud Platform, Git, and data orchestration tools such as Airflow is highly preferred.