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Junior Data Engineer (6-Month Engagement) (#5893)

Рівень:: junior
Джерело:: djinni.co

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Що робити

Monitor and support scheduled and event-driven data pipelines, data processing jobs, reporting refreshes, and data quality checks.
Execute standard data ingestion and refresh activities from multiple sources, including APIs, CSV files, syndicated datasets, and configuration inputs.
Implement well-defined Python, PySpark, and SQL changes, including new filters, transformations, mappings, validation rules, and minor pipeline enhancements.
Perform schema validation, reconciliation checks, regression testing, and source-to-target data verification.
Investigate pipeline failures, validation issues, missing data, rejected files, and reporting discrepancies.

Що очікуємо

1-2 years of professional experience in Data Engineering, ETL/ELT development, Analytics Engineering, or Data Support roles.
Good working knowledge of Python and SQL.
Understanding of data pipelines, data transformations, batch processing, and ETL/ELT concepts.
Familiarity with relational databases and data warehouse concepts.
Experience working with API integrations and file-based data processing (CSV, Parquet, etc.).

Що пропонуємо

Experience with Azure Data Factory, Azure Databricks, PySpark, Snowflake, Delta Lake, Azure Data Lake Storage, or similar cloud data technologies.
Exposure to modern data platform architectures, including Medallion (Bronze-Silver-Gold) data processing patterns.
Familiarity with Power BI or other BI/reporting platforms.
Knowledge of cloud environments and DevOps practices.
Experience with data validation frameworks such as Pandera.

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