Data Engineer

This is a fully remote position, open to applicants in Kenya.

📋 Description

• Assist in the execution, configuration, and upkeep of data pipelines and transformation workflows.

• Create and sustain ELT data pipelines utilizing Databricks Workflows and Azure Data Factory.

• Facilitate the ingestion of data from critical systems into Lakehouse.

• Oversee pipeline operations, detect failures, and resolve issues.

• Design and uphold dbt models across staging, intermediate, and mart layers.

• Utilize SQL techniques such as joins, CTEs, window functions, and aggregations to cater to reporting and analytics requirements.

• Develop and manage Databricks notebooks and jobs for data transformation tasks.

⛳️ Requirements

• 3–6 years of practical experience in data engineering, analytics engineering, or a similar technical position.

• Proven experience in constructing or maintaining data pipelines in a professional environment.

• Familiarity with cloud-based data platforms, ideally Azure (Databricks, Data Factory, or Synapse).

• Working knowledge of dbt model development, including staging and mart layers.

• Understanding of dbt tests, documentation, and source configurations.

• Willingness to enhance dbt skills, particularly in incremental models and CI/CD integration.

• Practical experience with Databricks notebooks and basic job/workflow configuration.

• Knowledge of Delta Lake concepts and Databricks SQL.

• Strong SQL skills: joins, CTEs, window functions, aggregations, and a basic awareness of performance.

• Basic to intermediate proficiency in Python for data processing, scripting, and automation.

• Comprehension of star/snowflake schemas and concepts related to fact & dimension tables.

🏝️ Benefits

• Comprehensive safety and security initiatives

• Continuous learning and development programs