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Field
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retrieve data (e.g., MySQL, Oracle, MSSQL, PostgreSQL, or Aurora). Demonstrated programming skills using modern languages (e.g., Python). Education and Experience Equivalent to a bachelor’s degree in a
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, SQL Server, MySQL, PostgreSQL) Python or similar scripting language proficiency Data Engineering & Architecture: Experience designing and implementing large-scale data warehouses and ETL/ELT pipelines
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Management Experience with relational databases (e.g., PostgreSQL, PostGIS) Experience with non-relational databases (e.g., DuckDB) Ability to design database schemas and write optimized queries Systems
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Management Experience with relational databases (e.g., PostgreSQL, PostGIS) Experience with non-relational databases (e.g., DuckDB) Ability to design database schemas and write optimized queries Systems
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deploying scalable infrastructure for large datasets and databases, including containerization and orchestration technologies such as Docker, Kubernetes, MariaDB, PostgreSQL, Apache Cassandra, Neo4J, etc
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, models and standards is preferred. - Experience with Python, PHP, SAST, DAST, SCA, SAML, OIDC, PostgreSQL, MariaDB, TDD, HTTP, TCP/IP, x509 certificates, network/systems inventories and architecture, DNS
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. Oracle, MSSQL, DB2, PostgreSQL, MySQL, Cognos, and Essbase) would be an asset. To be successful in this role you will be: Diplomatic Efficient Motivated self-learner Multi-tasker Self-directed Team player
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Background in REST API development and database management (PostgreSQL, MySQL) Proficiency with HPC environments and job schedulers (e.g., SLURM) Experience with deep learning frameworks and neural network
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(MySQL/PostgreSQL), with experience in Go or R a plus. Hands‑on experience designing and managing cloud‑based data infrastructure in AWS, Azure, or Google Cloud. Experience building data models, schemas
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in use of SQL and experience with a database programming language such as PL/SQL, Transact-SQL, PostgreSQL, etc Willingness and ability to function as part of a dynamic and collaborative team Excellent