Data Engineer – DBT, Databricks & SQL Expert -- 100% Remote -- Only Independent Visa
Job Title: Data Engineer – DBT, Databricks & SQL Expert
Location: Remote
Key Responsibilities:
• Design, build, and maintain scalable and efficient ETL/ELT pipelines using DBT and Databricks.
• Develop, optimize, and troubleshoot complex SQL queries for data transformations, validations, and reporting.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data needs.
• Implement data quality and data governance best practices in pipelines.
• Work with structured and semi-structured data from multiple sources (e.g., APIs, flat files, cloud storage).
• Build and maintain data models (star/snowflake schemas) to support analytics and BI tools.
• Monitor pipeline performance and troubleshoot issues in production environments.
• Maintain version control, testing, and CI/CD for DBT projects using Git and DevOps pipelines.
Required Skills & Experience:
• experience as a Data Engineer
• Strong experience with DBT (Cloud or Core) for transformation workflows.
• Proficiency in SQL — deep understanding of joins, window functions, CTEs, and performance tuning.
• Hands-on experience with Databricks (Spark, Delta Lake, Notebooks).
• Experience with at least one cloud data platform: AWS (Redshift), Azure (Synapse), or Google Cloud Platform (BigQuery).
• Familiarity with data lake and lakehouse architecture.
• Experience with Git and version control in data projects.
• Knowledge of orchestration tools like Airflow, Azure Data Factory, or dbt Cloud scheduler.
• Comfortable with Python or PySpark for data manipulation (bonus).
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Location: Remote
Key Responsibilities:
• Design, build, and maintain scalable and efficient ETL/ELT pipelines using DBT and Databricks.
• Develop, optimize, and troubleshoot complex SQL queries for data transformations, validations, and reporting.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data needs.
• Implement data quality and data governance best practices in pipelines.
• Work with structured and semi-structured data from multiple sources (e.g., APIs, flat files, cloud storage).
• Build and maintain data models (star/snowflake schemas) to support analytics and BI tools.
• Monitor pipeline performance and troubleshoot issues in production environments.
• Maintain version control, testing, and CI/CD for DBT projects using Git and DevOps pipelines.
Required Skills & Experience:
• experience as a Data Engineer
• Strong experience with DBT (Cloud or Core) for transformation workflows.
• Proficiency in SQL — deep understanding of joins, window functions, CTEs, and performance tuning.
• Hands-on experience with Databricks (Spark, Delta Lake, Notebooks).
• Experience with at least one cloud data platform: AWS (Redshift), Azure (Synapse), or Google Cloud Platform (BigQuery).
• Familiarity with data lake and lakehouse architecture.
• Experience with Git and version control in data projects.
• Knowledge of orchestration tools like Airflow, Azure Data Factory, or dbt Cloud scheduler.
• Comfortable with Python or PySpark for data manipulation (bonus).
Apply tot his job
Apply To this Job