Snowflake & DBT Data Engineer

ull time remote contract

few hours of overlapping time with US timezone

You may need to go through the background verification process in which your claimed experience, education certificates and references given will be verified. So pls don't apply if you are not comfortable to go through this verification process.

communication in English language is MUST

Min. Experience : 6+ years

Job Summary:

Data Engineer

Key Responsibilities:

dbt

dbt Core or dbt Cloud

Snowpipe, Streams, Tasks, and Dynamic Tables

·      Work closely with Data Analysts and Analytics Engineers, and Business teams to understand data requirements.

data testing and validation

data warehouse architecture

·      Monitor data pipeline performance and troubleshoot issues proactively.

version control practices (Git)

·      Strong proficiency in Python. The resource should be comfortable writing production-grade Python code, interacting with APIs to extract and integrate data from various sources, and automating workflows.

·      Experience with handling large-scale data ingestion, transformation, and processing tasks, ensuring data quality, reliability, and scalability across platforms.

Required Skills & Qualifications:

·      6+ years of experience in Data Engineering.

Snowflake

dbt

SQL

ETL/ELT design patterns

data warehousing concepts

Cloud Platforms

Git/GitHub

·      Excellent communication skills and ability to work in cross-functional teams.

·      Demonstrated ability to thrive in fast-paced environments. The resource should have a strong aptitude to be comfortable diving deep into datasets, identifying patterns, and uncovering data quality issues in environments where data sanity is low.