Mid-Level Data Engineer (Python / SQL / PySpark)

## 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.
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