We are looking for a Data Engineer to join our data team. You will be responsible for managing our master data set, developing reports, and troubleshooting data issues. To excel in this role, attention to detail, experience as a data analyst, and a deep understanding of popular data analysis tools and databases are essential. Your responsibilities include: - Building, maintaining, and managing data pipelines for efficient data flow between systems. - Collaborating with stakeholders to design and manage customized data pipelines. - Testing various ETL (Extract, Transform, Load) tools for data ingestion and processing. - Assisting in scaling the data infrastructure to meet the organization's growing data demands. - Monitoring data pipeline performance and troubleshooting data issues. - Documenting pipeline architectures and workflows for future reference and scaling. - Evaluating data formats, sources, and transformation techniques. - Working closely with data scientists to ensure data availability and reliability for analytics. We require the following skill sets/experience: - Proficiency in Python, PySpark, and Big Data concepts such as Data Lakes and Data Warehouses. - Strong background in SQL. - Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud. - Basic knowledge of containerization technologies like Docker. - Exposure to data orchestration tools like Apache Airflow or Luigi. Pedigree: - Bachelor's degree in Computer Science, Electrical Engineering, or IT.,