Data Engineer (Pyspark)

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
5–10 years of experience in Data Engineering.
Strong expertise in SQL and Python.
Experience with Apache Spark (Pyspark preferred).
Hands-on experience with Hadoop ecosystem technologies.
Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
Experience building ETL pipelines using tools such as Informatica, Talend, DataStage, or cloud-native services.
Strong knowledge of data warehousing concepts.
Experience with data modeling (Star Schema, Snowflake Schema).
Familiarity with Git and CI/CD tools.
Strong analytical and problem-solving skills.
Excellent verbal and written communication skills.