Description

Job Description:

• We are looking for a Data Engineer with 5+ years of experience and strong hands-on expertise in Snowflake, SQL, Python, and ETL/ELT. The candidate will be responsible for building scalable data pipelines, data warehouse solutions, and reliable data platforms. Design, develop, and maintain scalable ETL/ELT data pipelines.
• Develop and optimize complex SQL queries and Snowflake workloads Build data warehouse solutions and data models using Snowflake. Integrate data from multiple sources and implement data quality and validation processes.
• Optimize Snowflake performance and cloud infrastructure costs. Troubleshoot production data pipeline issues and ensure data reliability.
• Collaborate with analysts, data scientists, and business teams to deliver data solutions.
• Follow best practices for code quality, testing, version control, and documentation.5+ years of experience in Data Engineering. Strong hands-on experience with Snowflake.
• Advanced SQL skills.
• Strong experience with Python and ETL/ELT.
• Good understanding of data warehousing and data modelling.
• Experience with AWS, Azure, or GCP Experience with Git and CI/CD practices. Strong problem-solving and communication skills.
• Experience with Airflow, dbt, Azure Data Factory, or AWS Glue Knowledge of Spark/PySpark.
• Experience with Snowflake Streams, Tasks, Snow pipe, Dynamic Tables, or Snowpark Exposure to Kafka, data governance, and data security Work Experience 7-10Years

Key Skills

Education

Any Graduate