Data Engineer

We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data processing systems. The ideal candidate should have experience with Python, SQL, ETL/ELT processes, data warehousing, and cloud platforms. The candidate will work with cross-functional teams to integrate, transform, validate, and manage data to support analytics and business intelligence initiatives.

• Master’s degree in computer science, Data Engineering, Information Technology, or a related field.

• 2–5+ years of experience in data engineering or a related role.

• Strong programming skills in Python and SQL.

• Experience developing and maintaining ETL/ELT data pipelines.

• Knowledge of data modeling, database design, and data warehousing.

• Experience with Apache Spark, PySpark, or other distributed data processing technologies.

• Familiarity with Snowflake, Databricks, Amazon Redshift, BigQuery, or Azure Synapse.

• Experience with AWS, Azure, or Google Cloud Platform.

• Knowledge of data quality, data validation, and pipeline monitoring.

• Familiarity with Git, CI/CD, and workflow orchestration tools.

• Strong analytical, communication, troubleshooting, and problem-solving skills.