Data Engineer at CLS Human Capital Specialists

 Minimum education required

• BSc in Computer Science, Engineering or relevant field

Minimum experience required

• 1+ years' experience 

Requirements and skills

• Proficiency in programming languages (e.g. Python)
• Experience with big data technologies like Hadoop, Spark, and Kafka would be a bonus
• Knowledge of database management systems, both relational (e.g., SQL, PostgreSQL) and non-relational (e.g., MongoDB, Cassandra)
• Experience in building or maintaining ETL processes
• Familiarity with data integration and analytical tools, such as Azure Synapse
• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities

Responsibilities

• Work closely with a cross-functional team to help build complex algorithms that provide unique insights into our data
• Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis
• Build data pipelines that clean, transform, and aggregate data from disparate sources
• Develop models that can be used to make predictions and answer questions for the overall business
• Create and maintain existing and new data pipelines that facilitate data flows from various sources to a central cloud-based data warehouse.
• Implement scalable data architectures, developing and optimizing ETL processes, and ensuring data quality and integrity
• Support cross-functional teams to identify and address data-related requirements