Description

Top Skills & Years of Experience:
·        3 years of advanced hands-on experience designing AWS data lake solutions, integrating Redshift with other AWS services, such as DMS, Glue, Lambda, S3, Athena, and Airflow.
·        Experience with PySpark and Glue ETL scripting including functions like renationalize, performing joins and transforming data frames with PySpark code.
Additional Useful Experience:
·        Docker
·        Airflow Server Administration
·        Parquet file formats
·        AWS Security
·        Jupyter Notebooks
·        API Best Practices, API Gateway, Route Structuring, and standard API authentication protocols including tokens. 
·        Git, Git flow best practices 
·        Release management and DevOps.
·        Shell scripting
·        AWS certifications related to data engineering or databases are a plus. 
·        Experience with DevOps technologies and processes.
·        Experience with complex ETL scenarios, such as CDC and SCD logics, and integrating data from multiple source systems.
·        Experience in converting Oracle scripts and Stored Procedures to Redshift equivalents.
·        Experience working with large-scale, high-volume data environments.
·        Exposure to higher education, finance, and/or human resources data is a plus.
Proficiency in SQL programming and Redshift stored procedures for efficient data manipulation and transformation.

Key Skills
Education

Any gradudate

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