Data Engineer

we  are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. The candidate will work with large datasets and develop reliable solutions for collecting, processing, transforming, and storing data.

The role involves building ETL/ELT pipelines, integrating data from multiple sources, and ensuring data quality and availability. The candidate will collaborate with Data Scientists, Data Analysts, and Software Engineers to provide reliable and accessible data for business and analytics applications.

Bachelor’s degree in Computer Science, IT, Data Engineering, or related field.
2–5 years of experience in Data Engineering.
Strong knowledge of Python and SQL.
Experience with ETL/ELT pipelines and data processing.
Good understanding of data warehousing and data modeling.
Hands-on experience with Apache Spark/PySpark and Airflow.
Knowledge of AWS, Azure, or GCP.
Experience with MySQL, PostgreSQL, or other databases.
Strong data troubleshooting and problem-solving skills.
Knowledge of Git/GitHub and Linux.
Good communication and teamwork skills.