Data Engineer

The Role In addition to creating and maintaining an optimal pipeline architecture, typical duties and responsibilities for a Data Engineer position may include: - Assembling large, complex sets of data that meet non-functional and functional business requirements. - Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. - Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies. - Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues. Ideal Profile - Ability to build and optimize data sets, ‘big data’ data pipelines and architectures . - Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.. - Excellent analytic skills associated with working on unstructured datasets.. - Ability to build processes that support data transformation, workload management, data structures, dependency and metadata.. - Proficiency in Python programming and SQL.. - Experience in implementing data storage solutions (data warehouse / data lakes). - Experience with database management systems (e.g., MySQL, PostgreSQL). - Familiarity with data integration and ETL tools (Talend, Airflow, MageAI) is a plus. - Knowledge of Docker is a plus. - Hands-on experience with Tableau is preferred. - Excellent communication skills and the ability to work collaboratively with cross-functional teams.