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We are seeking a highly skilled and motivated Data Engineer to join our growing data engineering team. In this role, you will design, build, and maintain robust data pipelines and architectures that support analytics, machine learning, and operational workloads. You’ll work with modern data stack tools including Snowflake, dbt, and Matillion or similar platform, and will play a key role in shaping how data flows and is consumed across the organization.
Job Responsibility:
Build and Maintain Data Pipelines
Optimize Data Infrastructure
Collaborate Cross-functionally
Data Modeling
Implement and Enforce Data Quality Standards
Documentation and Best Practices
Requirements:
5+ years of experience in data engineering or a similar role
Strong proficiency in Python for data processing and scripting
Hands-on experience with Snowflake(or similar platform), including SQL optimization, schema design, and performance tuning
Proficient in dbt (data build tool) for data transformations and model management
Experience with Airflow (or similar workflow orchestration tools like Prefect or Luigi)
Solid understanding of ELT/ETL principles, data warehousing concepts, and data modeling
Experience with CI/CD tools and version control (e.g., Git)
Familiarity with cloud platforms (AWS, GCP, or Azure)