Offer summary

Qualifications:

Bachelor’s degree in computer science, Information Technology, or a related field., 5+ years of experience as a Backend Data Engineer with strong understanding of ETL processes and data warehousing concepts., Proficiency in programming languages such as Python, Java, Scala, or SQL, and experience with big data technologies like Hadoop and Spark., Strong analytical thinking, problem-solving abilities, and excellent communication skills..

Key responsabilities:

Create and manage data systems and pipelines for efficient data flow, including ingestion, processing, and storage.

Optimize data pipelines and monitor systems for performance issues, implementing solutions as needed.

Collaborate with data scientists and cross-functional teams to understand data needs and design scalable solutions.

Implement and maintain ETL processes, ensuring data accuracy, completeness, and consistency.

Job description

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	-