Cloud Data Engineer Entry Level Jobs in Raleigh, NC

Position Description:

Performs distributed application design and development, using Informatica, Python, SQL, Oracle, and Control M. Designs and architects Cloud native applications using Azure. Develops Extract Transform and Load and Extract Load and Transform (ETL/ELT) strategies. Advances recordkeeping systems by writing complex SQL queries using Oracle Procedural Language/Structured Query Language (PL/SQL). Manipulates large sets of data using relational database technologies -- Oracle SQL and PL/SQL.

Primary Responsibilities:

• Develops original and creative technical solutions to on-going development efforts.
• Designs applications or subsystems on major projects and for/in multiple platforms.
• Develops applications for multiple projects supporting several divisional initiatives.
• Supports and performs all phases of testing leading to implementation.
• Assists in the planning and conducting of user acceptance testing.
• Develops comprehensive documentation for multiple applications supporting several corporate initiatives.
• Responsible for post-installation testing of any problems.
• Establishes project plans for projects of moderate scope.
• Works on complex assignments and often multiple phases of a project.
• Performs independent and complex technical and functional analysis for multiple projects supporting several initiatives.

Education and Experience:

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Data Engineer (or closely related occupation) performing complex data analysis to design, document, and implement data warehouse and ETL solutions.

Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Data Engineer (or closely related occupation) performing complex data analysis to design, document, and implement data warehouse and ETL solutions.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise ("DE") designing, improving performance, and organizing complex SQL queries, procedures, functions, packages, indexes, and partitions for record keeping, using SQL Server, Oracle, MySQL, Teradata, and Netezza; gathering and analyzing requirements, and performing application design and development, using PL/SQL and Informatica; and performing software application testing to meet functional and non-functional requirements, using Shell scripting, Informatica, and SQL.
• DE performing data lifecycle (implementation, transformation, integration, migration, tuning, and cleansing) using ETL, Informatica, and PowerCenter to create reusable mappings, mapplets, and workflows; identifying and resolving application performance limitations using ETL pipelines, session logs, workflow monitoring, and database profiling techniques; developing, designing, and implementing scalable and efficient data architectures, using data warehousing solutions, Amazon Redshift, Oracle, Snowflake, and ETL processes; performing data cleansing, blending, parsing, and transformations, using Informatica; and conducting automation of these jobs using Autosys and Control M.
• DE developing shell scripting for data extraction and manipulation to automate the file archive process designed for large batches (including file formatting adjustment and renaming), using Unix and Linux.
• DE developing job scheduling, job monitoring, troubleshooting, and job flow design, using AutoSys and Control-M.

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