Data Engineer Consultant

* 8–12+ years of professional experience in Data Engineering, including a minimum of 3 years in a leadership role.

* Proven hands-on experience in developing enterprise-level data pipelines.

* Proficient in Python and SQL with a strong technical foundation.

* Extensive experience with Apache Spark/PySpark.

* In-depth knowledge of AWS services, including S3, Glue, Redshift, Athena, EMR, Lambda, Kinesis/MSK, Step Functions, and Lake Formation.

* Skilled in the design and implementation of Data Lake and Lakehouse architectures.

* Strong grasp of ETL/ELT processes, Change Data Capture (CDC), as well as batch and streaming data architectures.

* Familiarity with both relational and NoSQL database systems.

* Comprehensive understanding of data modeling, dimensional modeling, and core concepts related to data warehousing.