About the role
TL;DR
Build and maintain scalable data pipelines and data models.
- •We are seeking a Senior Data Engineer to join a cross-functional team working on scalable data systems and analytics infrastructure.
- •Key Responsibilities Own, build, maintain, and optimize scalable data pipelines Design and implement data architectures that support analytics and operational use cases Work with large, complex datasets to meet evolving business requirements Ensure data quality, reliability, and performance across systems Apply best practices for developing specialized datasets for analytics and modeling Requirements 5+ years of experience in software engineering, with at least 3 years focused on data engineering or data infrastructure Strong expertise in SQL and working with relational databases Experience building and maintaining scalable data pipelines Proficiency in at least one general-purpose programming language (Python preferred) Experience with modern data stack tools (e.g., Spark, DBT, Airflow/Dagster)
Required skills
SQLPythonSparkdbtBigQuerySnowflakeDatabricksAirflowDagsterGoogle CloudAWSTerraformPulumiCloudFormation
Nice-to-have skills
DatabricksAirflowDagsterGoogle CloudAWSTerraformPulumiCloudFormation
Tech stack
SQLPythonSparkdbtBigQuerySnowflakeDatabricksAirflowDagsterGoogle CloudAWSTerraformPulumiCloudFormation
