Data Engineer

2 weeks ago

Baton Rouge, United States GovServicesHub Full time

Job Location:  Available to work Remote, Baton Rouge, LA.

 

Note: 13 Years+ Needed with any state experience  CST time zone candidates preferred

 

Job Description:


  • Create and manage the systems and pipelines that enable efficient and reliable flow of data, including ingestion, processing, and storage.
  • Collect data from various sources, transforming and cleaning it to ensure accuracy and consistency. Load data into storage systems or data warehouses.
  • Optimize data pipelines, infrastructure, and workflows for performance and scalability.
  • Monitor data pipelines and systems for performance issues, errors, and anomalies, and implement solutions to address them.
  • Implement security measures to protect sensitive information.
  • Collaborate with data scientists, analysts, and other partners to understand their data needs and requirements, and to ensure that the data infrastructure supports the organization's goals and objectives.
  • Collaborate with cross-functional teams to understand data requirements and design scalable solutions that meet business needs.
  • Implement and maintain ETL processes to ensure the accuracy, completeness, and consistency of data.
  • Design and manage data storage systems, including relational databases, NoSQL databases, and data warehouses.
  • Knowledgeable about industry trends, best practices, and emerging technologies in data engineering, and incorporating the trends into the organization's data infrastructure.
  • Provide technical guidance to other staff.
  • Communicate effectively with partners at all levels of the organization to gather requirements, provide updates, and present findings

Requirements

Skills Set:

 

Skill

Required /Desired

Experience

experience as a Backend Data Engineer or in a similar role and strong understanding of ETL processes and data warehousing concepts

Required

5 + years

Proven experience with Python and related data engineering libraries (e.g., pandas, NumPy, Spark) and hands-on experience with Apache Airflow for managing data pipelines and workflows

Required

-

Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Resource must be able to implement data automations within existing frameworks as opposed to writing one off scripts

Required

-

Experience with big data technologies and frameworks like Hadoop, Spark, Kafka, and Flink

Required

-

Strong understanding of database systems, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra)

Required

-

Experience regarding engineering best practices such as source control, automated testing, continuous integration and deployment, and peer review

Required

-

Experience with cloud computing platforms

Required

-

Familiarity with agile development methodologies, software design patterns, and best practices

Required

-

Strong analytical thinking and problem-solving abilities

Required

-

Excellent verbal and written communication skills, including the ability to convey technical concepts to non-technical partners effectively

Required

-

Flexibility to adapt to evolving project requirements and priorities

Required

-

Outstanding interpersonal and teamwork skills; and the ability to develop productive working relationships with colleagues and partners.

Required

-

Experience working in a virtual environment with remote partners and teams

Required

-

Proficiency in Microsoft Office

Required

-

Bachelor’s degree in computer science, Information Technology, or a related field

Required

-



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