## Job Description# Mid-Level Data Engineer (Python / SQL / PySpark)* Analyze user and business requirements and translate them into technical data solutions.* Contribute to data pipeline and platform architecture, including data flow, system interactions, and component design.* Develop clean, efficient, and well‐documented code using **Python, SQL, and PySpark**, following established coding standards.* Implement ETL/ELT processes and support data integration across systems.* Bachelor’s degree in Computer Science or a related field, **or equivalent professional experience**.* **3+ years of experience** in software or data engineering roles.* Hands‐on experience with **Python, SQL, and PySpark**.* Experience working with **CI/CD principles** and Git‐based version control.* Experience with **data orchestration and workflow tools** such as **Apache Airflow**.* Experience monitoring integrated systems using tools such as **Grafana and PagerDuty**.* Familiarity with **Agile software development methodologies**.* Strong analytical, problem‐solving, and critical‐thinking skills.* Ability to work in a fast‐paced and occasionally high‐pressure environment.* Willingness to work flexible schedules, including nights, weekends, or holidays when needed.* Must be at least 21 years of age.* Proven experience deploying and supporting **complex data engineering solutions**.* Hands‐on experience with **AWS services** such as Glue, S3, Redshift, and Macie.* Experience with **Databricks and/or Snowflake**.* Strong understanding of **data modeling**, ETL/ELT patterns, and data integration techniques.* Knowledge of **data governance, data quality, and data security** principles.* Exposure to **Java or C#** is a plus.#J-18808-Ljbffr