Data Engineer - Onsite

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Job Title Data Engineer - Ad Operations Exp: – yrs
Responsibilities:
Analyze and understand existing Tidal job dependencies, schedules, and scripts.
Develop shell scripts and Python-based workflows to replicate and enhance current Tidal processes in Airflow.
Write and optimize SQL queries for Snowflake-based data transformations and validations.
Collaborate with cross-functional teams to ensure data pipelines are robust, scalable, and well-documented.
Work with AWS S for data ingestion and storage processes.
Ensure high reliability and performance of data pipelines post-migration.
Provide support during testing and post-migration validation.
Required Skills:
Shell scripting – strong experience required
Python – strong experience required
SQL – strong experience required, preferably with Snowflake
AWS S – hands-on experience
Solid Data Warehouse background and understanding of ETL/ELT best practices
Preferred Skills (Nice to Have):
Experience with Apache Airflow
Prior experience with scheduling tool migrations, especially Tidal
Familiarity with CI/CD practices and DevOps for data pipelines
Apply
Location:
Englewood

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