Inherent Technologies
Role Overview
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AWS Data Engineer
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Inherent Technologies
Responsibilities & Qualifications
Skill Matrix: Overall 8+ years of specialization in data engineering in data warehouse and data mesh implementations
Must have 4 years of relevant experience in AWS tech stack - Writing PySpark, AWS Glue scripting (ETL & Crawler), EMR, Datasync, DMS, SQL, Redshift
Possesses experience in technologies such change data capture(CDC), data quality, Kafka and Kinesis data streams, Airflow, Step Functions, and Lambda
Knowledge on table formats such as Iceberg and Delta tables
Has experience in metadata management building data catalog in alignment with business glossary
Has knowledge of data governance aspects such as data lineage, data quality. Should have built data validation frameworks to reconcile source and target data
Hands‑on expertise with data modelling, ETL pipelines, and performance optimization.
Solid background in Data Warehousing concepts (star/snowflake schema design, dimensional modelling, and reporting enablement)
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Information Technology
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AWS Data Engineer
role at
Inherent Technologies
Responsibilities & Qualifications
Skill Matrix: Overall 8+ years of specialization in data engineering in data warehouse and data mesh implementations
Must have 4 years of relevant experience in AWS tech stack - Writing PySpark, AWS Glue scripting (ETL & Crawler), EMR, Datasync, DMS, SQL, Redshift
Possesses experience in technologies such change data capture(CDC), data quality, Kafka and Kinesis data streams, Airflow, Step Functions, and Lambda
Knowledge on table formats such as Iceberg and Delta tables
Has experience in metadata management building data catalog in alignment with business glossary
Has knowledge of data governance aspects such as data lineage, data quality. Should have built data validation frameworks to reconcile source and target data
Hands‑on expertise with data modelling, ETL pipelines, and performance optimization.
Solid background in Data Warehousing concepts (star/snowflake schema design, dimensional modelling, and reporting enablement)
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Information Technology
#J-18808-Ljbffr