Data Engineer (Data Engineering Team)

<h3>Responsibilities:</h3><li>Design, develop, and maintain data pipelines that ingest process, and deliver data from various sources, ensuring data quality and reliability.</li><li>Data Modeling: Create and maintain data models to support reporting, analytics, and business intelligence needs, optimizing data structures for performance and efficiency.</li><li>Implement ETL processes to transform raw data into meaningful insights, handling data transformation, aggregation, and enrichment.</li><li>Monitor and address data quality issues, implement data validation processes, and establish data governance practices.</li><li>Manage and optimize data storage, processing, and distribution systems, ensuring scalability and performance.</li><li>Collaborate with data scientists, analysts, and cross-functional teams to understand data requirements and deliver solutions that meet business needs.</li><li>Document data engineering processes, pipelines, and systems to maintain clear and accessible knowledge for team members.</li><h3>Requirements:</h3><li>Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.</li><li>Minimum of 3 years of experience in data engineering or a related field.</li><li>Proven experience with Redshift and Snowflake.</li><li>Experience with DBT.</li><li>Experience with Apache Airflow for workflow orchestration.</li><li>Proficiency in Python for data pipeline development and scripting.</li><li>Experience with AWS cloud services, including S3, EC2, and EMR.</li><li>Familiarity with Kafka for real-time data streaming.</li><li>Familiarity with data visualization and reporting tools (e.g. Tableau, Power BI or Looker).</li><li>Project management skills using Jira or similar tools.</li><li>Ability to collaborate effectively with cross-functional teams and understand business data needs.</li><li>Strong problem-solving skills, a proactive approach to troubleshooting data issues, and critical thinking abilities.</li><li>Adaptable and open to learning new technologies and methodologies.</li>