MUST HAVE 10+ YEARS OF EXPERIENCE in Python, SQL, ETL/ELT Development, Apache Spark, Hadoop, AWS / Azure / Google Cloud Platform (GCP), CI/CD Pipelines, Linux/Unix
Job Description
60 months of experience designing, developing, and maintaining ETL/ELT data pipelines using Python and SQL.
60 months of experience with relational databases such as Oracle, SQL Server, PostgreSQL, or MySQL, including complex SQL query development and performance tuning.
48 months of experience with cloud platforms such as AWS, Azure, or Google Cloud Platform and cloud-based data services.
48 months of experience with big data technologies including Apache Spark, Hadoop, and Kafka.
36 months of experience with data warehousing solutions such as Snowflake, Amazon Redshift, Azure Synapse, or Google BigQuery.
36 months of experience with workflow orchestration tools such as Apache Airflow or equivalent scheduling tools.
24 months of experience developing and optimizing data models, data lakes, and data integration solutions.
Numbers & Facts
Location
Ohio City, OH
Skills
Amazon Web Services (AWS)unmatched
Apacheunmatched
Apache Hadoopunmatched
Apache Kafkaunmatched
Apache Sparkunmatched
Big Dataunmatched
Cloud Computingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Managementunmatched
Data Modelingunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
GCP (Good Clinical Practices)unmatched
Linux Operating Systemunmatched
Microsoft SQL Serverunmatched
Microsoft Windows Azureunmatched
MySQLunmatched
Oracle Databaseunmatched
Performance Tuning/Optimizationunmatched
PostgreSQLunmatched
Python Programming/Scripting Languageunmatched
Relational Databases (RDBMS)unmatched
SQL (Structured Query Language)unmatched
Snowflake Schemaunmatched
Unix Operating Systemsunmatched
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