Software Developer; Systems Software

Avid Technology Professionals, LLC

Columbia, SC, United States

4 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.careerbuilder.com

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Systems Engineering Microsoft Azure Big Data Cloud Computing Computer Programming Databases Information Engineering Data Files Data Governance

+24 more

Data Infrastructure Data Security Data Warehousing Graph Database Apache Hadoop Python (Programming Language) PostgreSQL Machine Learning MongoDB MySQL Neo4j NoSQL Scala (Programming Language) Software Engineering SQL Databases Scripting Data Storage Technologies Apache Cassandra Apache Spark Cassandra Apache Kafka Data Management Data Pipelines Programming Languages

Requirements

Advanced proficiency in programming languages commonly used for data engineering (e.g., Python, Java, Scala)

Demonstrated expertise in designing, developing, and optimizing data pipelines for large-scale enterprise environments

Proven experience with corporate dataflows and developing data parsers for extremely large datasets

Extensive experience with various database technologies including graph databases (e.g., Neo4j), SQL databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and vector databases

Familiarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing

Qualifications- Degree from an accredited college or university in System Engineering or related discipline and one of the following: - 10+ years of experience with a Master’s degree- 12+ years of experience with a Bachelor’s degree- 16+ years of experience with Associate’s Degree or HS Diploma

Desired:

Experience with data governance, data security, and compliance best practices

Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

Experience with data warehousing concepts and tools

Continuous learning mindset to stay abreast of cutting-edge data engineering and AI advancements

Understanding of machine learning concepts and their implications for data infrastructure

Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams

Ability to translate complex data requirements into actionable engineering solutions”

Skills: Amazon Web Services (AWS), Apache Cassandra, Apache Hadoop, Apache Spark, Artificial Intelligence (AI), Big Data, Cloud Computing, Communication Skills, Cross-Functional, Data Management, Data Science, Data Sets, Data Storage, Data Warehousing, Database Technology, Interpersonal Skills, Java, Machine Learning, Microsoft Windows Azure, MongoDB, MySQL, Neo4j, NoSQL, PostgreSQL, Programming Languages, Python Programming/Scripting Language, SQL Databases, Scala Programming Language, Software Development, Software Engineering, Systems Engineering, Team Player