Our client is known as the Work Life Platform, they are one of the leading employee benefits SaaS platforms that is on a constant mission to make a world class employee experience accessible to every company. They are redefining the way work works for the better, making automated HR, Payroll, Employee Benefits, and Insurance a possibility for all businesses. They are looking for a Lead Data Engineer to Join their team.

Duties and Responsibilities

• Designing the data model for data collection in the data warehouse
• Data Collection and data storage from existing and new data sources to the Data Warehouse and Data Lakes
• Building ETL solutions to enable batch processing and real-time data processing.
• Maintaining data pipelines and monitoring data quality through Data Fitness, Data Lineage, Data Governance, and Data Stability
• Performing query performance tuning on the data warehouse for faster and reliable data querying through BI tools
• Using Master Data Management techniques like Customer 360 to integrate all the customer data and interactions to have a comprehensive view of customers to provide a personalized user experience.
• Building automation workflows and integrations for data transfer to various tools and applications

Requirements

• Relevant experience of over 6 years
• Experience in SQL and programming languages like Python and Scala
• Experience in managing data warehouse and building data models.
• Experience with 3NF, Dimensional Models, and Data Vault
• Expertise in building ETL pipelines
• Experience in workflow management platforms like Airflow
• Experience with engineering processes like Unit Testing and CI/CD
• Experience with Data Lake Technologies like Big query
• Outstanding critical thinking and analytical skills
• Self-motivated with the ability to work independently as well as in a team and comfortable in a dynamic environment.
• Efficiently organized and detail-oriented, able to ensure quality and accuracy of the output.
• Ability to build strong relationships with colleagues, effectively collaborating across departments.

Foreground LLC