Data Engineer - DataLake/Data Warehousing

A team full of data scientists, data engineers and business analysts who work with 1M+ data points every day.

Market Size : Massive multi-billion $ global market opportunity.

Leadership : Combined experience of 40+ years of experience in the industry.

Customers : Word-of-mouth and referral-driven marketing to acquire customers like big retail brands in GCC regions like Lulu, GMG, among others (Strong product-market fit).

What makes us stand apart : 7 years old bootstrapped and 90+ people company that is still hiring.

Overview of the Role :

As a Data Engineer, you will serve as the technical expert responsible for design and implementation of BI, Analytics, & Big Data solutions providing high-value, timely analytics, and data solutions to the larger product team.

You will be responsible for verifying requirements, feasibility, estimation, defining design/architecture, developing an implementation plan, providing thought leadership for all data solutions, including designing data solutions that meets and exceed stakeholders expectations.

Requirements :

Essential Technologies/Skills :

- 1-3 years building Data Warehouse/Data Lake Architecture and Development.

- 1-3 years Data Modeling & Flow and Architecture.

- 1-3 years of on Cloud data solutions like Azure (preferred).

- Expertise in SQL, Python & Pyspark.

- Spark based platform such as Databricks experience.

- Messaging technologies such as Kafka, Event Hub etc.

- API and client development and deployment experience.

- Data prep, migration, analysis, gaps, visualization, auditing etc.

- DevOps tools such as Azure DevOps, Log Analytics, and monitoring.

- Cluster configurations including scaling, pooling, memory, and cost optimizations.

Essential Competencies :

- Understanding of core business intelligence /data warehousing technology and best practices : RDBMS, Big Data, Client/Server, OLAP, ML Skills.

- Experience leading a technical team.

- Moderate experience with client engagement & aligning them to your ideas/solutions.

- Ability to analyze, prepare statistical summary, high level insights and identify gaps in data.

- Critically evaluate and control data quality, security, and privacy in all solutions.

- Ability to clarify/translate requirements into Epics/Stories & remove ambiguity.

- Strong documentation and structured communications are a must.

- Ability to mentor other DE team members.

- Ability to present and demo to groups/stakeholders of mixed technical ability