Data Engineer

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🕒 March 20

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Jobs for Lebanon

WebsiteLinkedInAll Job Openings

51 - 200 employees

Prompted by a deep sense of belonging, responsibility, and concern for their country, a group of Lebanese ex-pats and Lebanese in Lebanon came together to create “Jobs For Lebanon” in early 2020.“Jobs for Lebanon” is a citizen-led initiative with the objective to address the ongoing economic crisis in Lebanon encouraging the 16 million Lebanese diasporas to offer opportunities to qualified Lebanese talents.Its online hiring marketplace allows employers to post jobs, and for Lebanese candidates to browse available opportunities and apply directly through our platform.Jobs for Lebanon is powered by SmartRecruiters, the leading online recruiting software based in San Francisco. Companies worldwide including Equinox, Skechers, Visa, Twitter, and more — use SmartRecruiters for all their hiring globally.

📋 Description

• Design and build data warehouse alongside the data team • Design, develop, and maintain data pipelines and ETL processes to ingest, process, and transform large volumes of data from various sources into our data warehouse. • Build data pipeline to third party reporting and automation tools • Work with clients to provide clean and reliable data in a safe environment • Build and optimize data models, schemas, and databases to support analytical and reporting requirements. • Implement data quality checks, monitoring, and error handling mechanisms to ensure the integrity and reliability of our data. • Collaborate with the data team and business departments to understand data requirements and deliver data solutions that meet business needs. • Continuously optimize and improve data infrastructure, performance, and scalability to support growing data volumes and evolving business requirements. • Stay up-to-date with emerging technologies and best practices in data engineering, cloud computing, and data management.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • 4+ years experience as a Data Engineer or similar role, with a strong background in designing and building data pipelines, ETL processes, and data warehouses. • Hands-on experience with cloud-based data platforms and services, particularly AWS (Amazon Web Services) including but not limited to S3, Redshift, Lambda and Glue • Proficiency in programming languages such as Python, SQL, and experience with data processing frameworks/libraries such as Apache Spark, Pandas, or similar. • Experienced in managing compute workloads and scaling with tools such as kubernetes • Solid understanding of database concepts, data modelling, and relational databases (e.g., PostgreSQL, MySQL). • Strong analytical, problem-solving, and communication skills, with the ability to work effectively in a fast-paced and collaborative environment. • Experience working in the fintech or financial services industry is a plus. • Excellent communication and collaboration skills, with the ability to interact effectively with technical and non-technical stakeholders.

🏖️ Benefits

• Employees can work remotely