Senior Data Engineer
Core
Designing and building automated ETL solutions, data transformations, and reporting infrastructure to support data science outcomes and enterprise analytics.
Role type
Senior Data Engineer
Builds
Automated ETL jobs, data pipelines, and reporting solutions
Domain
Big Data, Data Warehousing, Cloud Data Platforms
Deliverable
production ML models
Required skills
Python, SQL, AWS services (Redshift, Glue, S3, Kinesis, SageMaker), ETL tools (Matillion, Informatica), Data Modeling, Data Quality rules, Low-code/No-code platforms
Preferred skills
Databricks, Kafka, OLTP/OLAP data models, XML/JSON handling, Industrial/Finance domain knowledge
Technologies
AWS, Python, SQL, Matillion, Informatica, Databricks, Kafka, Redshift, Glue, S3, Kinesis, SageMaker
Responsibilities
Design and build automations using low-code/no-code solutions; Perform data profiling and analysis for source systems and target repositories; Develop data mapping specifications; Build automated ETL jobs; Validate data mapping results against expected outcomes; Implement Data Quality (DQ) rules.
Seniority
Senior, hands-on IC
