Senior Data Engineer

Strong experience building data platforms using Databricks, Snowflake, or modern cloud-native data ecosystems.

Hands-on expertise with Python, PySpark, SQL, and distributed data processing frameworks such as Apache Spark or Flink.

Experience building both batch and streaming data pipelines using technologies such as Kafka, Kinesis, Spark Structured Streaming, or equivalent.

Strong understanding of dimensional modeling, data warehousing, and lakehouse architecture patterns.

Experience with workflow orchestration platforms such as Airflow or Astronomer.

• Experience working with AWS services such as S3, Lambda, Glue, DynamoDB, Redshift, EMR, and related cloud technologies.