Data Engineer III

Position:
Data Engineer III

Job Location:

811 Excellence Dr., Bentonville, AR 72716

Duties:
Identifies possible options to address the business problems within one’s discipline through analytics, big data analytics, and automation. Supports the development of business cases and recommendations. Owns delivery of project activity and tasks assigned by others. Supports process updates and changes. Solves business issues. Supports the documentation of data governance processes. Supports the implementation of data governance practices. Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function.

Extracts data from identified databases. Creates data pipelines and transforms data into a structure that is relevant to the problem by selecting appropriate techniques. Develops knowledge of current data science and analytics trends. Supports the understanding of the priority order of requirements and service level agreements. Help identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data.

Analyzing complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models. Develop the Logical Data Model and Physical Data Models including data warehouse and data mart designs. Defines relational tables, primary and foreign keys, and stored procedures to create a data model structure. Evaluates existing data models and physical databases for variances and discrepancies.

Develops efficient data flows. Analyzes data-related system integration challenges and proposes appropriate solutions. Creates training documentation and trains end-users on data modeling. Oversee the tasks of less experienced programmers and stipulates system troubleshooting supports. Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements. Creates test cases to review and validate the proposed solution design.

Creates proofs of concept. Tests the code using the appropriate testing approach. Deploying software to production servers. Contributes code documentation, maintains playbooks, and provides timely progress updates. Demonstrates up-to-date expertise and apply this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs;

and building commitment for perspectives and rationales.

Minimum education and experience required:
Master’s degree or the equivalent in Computer Science, Engineering (any) or a related field; OR Bachelor’s degree or the equivalent in Computer Science, Engineering (any) or a related field plus 2 years of experience in software engineering or related experience.

Skills required:

Must have experience with:
Analyze business requirements, perform data analysis, and develop technical design documents in collaboration with product and data teams;
Design and build scalable, distributed data pipelines/ETL solutions using Spark, Hadoop, Hive, Azure Databricks, Azure Data Factory, Azure Blob Storage, GCP Dataproc, and Big Query;
Develop high-quality data solutions using object-oriented programming (Python, Scala) following industry best practices;
Automate workflows and streamline processes using Python and shell scripting; build lightweight ETL frameworks;
Optimize and tune Spark applications (Spark Core, Spark SQL, Spark Streaming) to improve performance and reduce costs;
Implement data pipelines on cloud…