Data Engineer

Strong proficiency in Python for data processing and pipeline development
Hands-on experience with Apache Spark (PySpark preferred)
Solid experience with AWS services such as S3, Glue, EMR, Redshift, Athena, Lambda
Experience with SQL and relational/non-relational databases
Knowledge of data modeling, data warehousing concepts, and ETL frameworks
Experience working with large-scale, distributed data systems
Familiarity with CI/CD pipelines and version control tools (Git)
Strong problem-solving and communication skills
Preferred / Nice to Have:
Experience with Airflow or other workflow orchestration tools
Knowledge of Kafka, Kinesis, or streaming data platforms
Experience with Docker/Kubernetes
Exposure to Delta Lake, Iceberg, or HuD.