Data Engineering Manager at Wasoko

Data Engineering Manager at Wasoko – Wasoko Kenya Job Details

Overview:

We are in search of a capable and motivated Data Engineering Manager to join our dynamic Business Intelligence team. As the Data Engineering Manager, you will assume a pivotal role in propelling data-oriented decision-making and offering valuable insights to enhance our business operations. Leading the analytics engineering division, you will collaborate closely with cross-functional units to deliver top-notch analytics solutions.

Responsibilities:

• Collaborate with stakeholders to comprehend business requirements and translate them into actionable analytics projects and endeavors.
• Provide guidance to a team of two accomplished data engineers.
• Spot opportunities for streamlining and automating analytics processes to enhance efficiency and scalability.
• Guarantee data precision, integrity, and security by implementing best practices and data governance protocols.
• Enhance our Data Warehouse by constructing analytical data models and data marts.
• Construct sturdy data pipelines using visual ETL/ELT tools like Dataform, Talend, or Dbt.
• Develop code adhering to our standards for style, maintainability, and best practices.
• Execute performance tuning and optimization to boost the efficiency of analytics workflows.
• Ensure effective implementation of data security and compliance measures.
• Create and maintain documentation on architecture and systems.
• Sustain a data catalog to facilitate self-service analytics and maintain a single source of truth.

Requirements:

• Align with our mission to transform access to vital goods and services for African communities and possess a desire to make a meaningful impact.
• Exhibit enthusiasm for the challenges presented by an e-commerce business, including demand forecasting, delivery optimization, inventory management, and enhancing customer lifetime value.
• Demonstrate a positive, can-do attitude.
• Bring over 8 years of experience in developing data marts and analytical data models, preferably within an agile, rapidly growing startup environment.
• Showcase over 8 years of experience in working with version control systems.
• Demonstrate over 8 years of experience utilizing visual ETL/ELT Tools such as Dataform, Talend, GCP Composer, GCP Datastream, GCP Dataflow, and DBT.
• Possess over 3 years of experience in leading data engineering and data science teams.
• Exhibit hands-on expertise with Cloud Data Warehouses like BigQuery, Amazon Redshift, or Snowflake.
• Display meticulous attention to detail and the ability to excel in a fast-paced, deadline-driven setting.
• Have familiarity with DevOps and automation practices, including containerization (e.g., Docker) and orchestration (e.g., Kubernetes) for managing containerized applications.
• Possess knowledge of data security and compliance measures.
• Maintain a working understanding of cloud infrastructure and networking.
• Familiarity with streaming technologies like Apache Kafka or Google Cloud Datastream.
• Possess experience in performance tuning and optimization.
• Proficiency in Python and familiarity with Apache Airflow are highly valued.
• Experience with data visualization tools such as Looker, Tableau, or Power BI is a beneficial addition.
• Knowledge of B2B e-commerce or a related industry is advantageous.