Data Engineer

About the role

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.

Responsibilities

• 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.

Requirements

• 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.

Qualifications

• 5+ years of experience in Data Engineering.

Skills

• Python
• ETL/ELT
• Snowflake
• AWS, Azure, or GCP
• Git and CI/CD practices
• Apache Airflow
• dbt
• Azure Data Factory
• AWS Glue
• Spark/PySpark
• Kafka
• Data governance
• Data security

Pay

N/A

Schedule

N/A

Benefits

N/A