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Senior role with niche AWS Glue/Snowflake skills reduces candidate competition.
Requires specialized AWS Glue, Snowflake, and Airflow expertise, limiting cross-industry transferability.
Explicit 8+ years and mandatory AWS/Glue/Snowflake/Airflow requirements enforce strict filtering.
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Lead and execute the migration of Matillion ETL pipelines to AWS-native data platform using AWS Glue, Apache Airflow, and Snowflake.
Design, develop, and optimize scalable data ingestion, transformation, and orchestration workflows focusing on performance and cost-efficiency.
Implement data quality, monitoring, security, and governance standards while collaborating with stakeholders and mentoring junior engineers.
8+ years of data engineering experience with at least 4+ years hands-on with AWS data services.
Strong expertise in Apache Airflow, AWS Glue, and Snowflake including workflow orchestration, ETL jobs, and data warehousing.
Proficient in Python, SQL, and Spark programming languages.
Work Experience Required: 8+ years in data engineering, 4+ years specifically with AWS data services.
Experienced in cloud-native data platform migrations, especially from Matillion or similar ETL tools to AWS.
Skilled at designing scalable, optimized AWS Glue and Airflow workflows with Snowflake performance tuning.
Capable of translating business requirements into technical solutions and enforcing data governance and best practices in a collaborative environment.