Data Engineer III

What you'll do...

Position: Data Engineer III

Job Location: 603 Munger Avenue, Dallas, TX 75202

Duties: Problem Formulation: Identifies possible options to address the business problems within one's discipline through analytics, big data analytics, and automation. Applied Business Acumen: 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. Data Governance: Supports the documentation of data governance processes. Supports the implementation of data governance practices. Data Strategy: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Data Transformation and Integration: Extracts data from identified databases. Creates data pipelines and transform data to a structure that is relevant to the problem by selecting appropriate techniques. Develops knowledge of current data science and analytics trends. Data Source Identification: Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data. Data Modeling: Analyzes complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models. Develops 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. Oversees the tasks of less experienced programmers and stipulates system troubleshooting supports. Code Development and Testing: 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. Deploys software to production servers. Contributes code documentation, maintains playbooks, and provides timely progress updates.

Minimum education and experience required: Bachelor’s degree or the equivalent in Computer Science or a related field plus 2 years of experience in software engineering or related OR Master’s degree or the equivalent in Computer Science or a related field OR 4 years of experience in software engineering or related.

Skills required: Must have experience with: developing highly scalable, distributed applications involving data ingestion, cleaning and transformation using Spark, Hive, Hadoop or HBase; publishing/consuming Kafka messages by enabling disaster recovery of topics with zero downtime; performing change data capture with incremental data loads using Apache Hudi; querying and monitoring logs using Graphana and Splunk;  building and updating dashboards into Kibana by ingesting and transforming data from Logstash; coding in at least one Object Oriented language like Scala, Java, or Python; analyzing and managing data using a fully managed data warehouse like Big Query or Redshift; creating and deploying highly scalable clusters for batch and stream processing using DataProc; managing RESTful online file storage for storing and accessing data on GCS/Azure Blob Storage/S3 buckets; scheduling and automating data pipelines using Airflow/Atomic; performing source code version control with github/GitLab and developing CI/CD pipelines using Jenkins for code deployment; designing Helm Charts for fully functional and production ready spark apps and deployment using Argo CD gitops model; designing dashboards to deliver business insights using Looker/Tableau/Power BI; and implementing performance tuning of end-to-end applications for cost optimization. Employer will accept any amount of experience with the required skills.

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Wal-Mart is an Equal Opportunity Employer.