Senior Data Engineer

Position: Senior Data Engineer    

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 transform data to 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. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data. 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. 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. Demonstrates up-to-date expertise and applies 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 or related field plus 1 year of experience in software engineering or a related field; OR Bachelor’s degree or the equivalent in Computer Science or related field plus 3 years of experience in software engineering or a related field. 

Skills required: Must have experience with: Designing and implementing highly scalable, optimized, distributed big data pipelines/ETLs using frameworks like- Spark/Databricks, and Apache Hive; Developing ETLs using frameworks (Apache Hive, MapReduce, or Apache Sqoop); Developing generic frameworks and data pipelines using programming languages (Scala, Python, Java); Creating ETLs and data ingestion pipelines on various cloud platforms/services like e.g., Microsoft Azure, Databricks, Snowflake, and IBM SoftLayer Cloud; Orchestrating and scheduling ETL and data ingestion pipelines using tools/frameworks (Azure DevOps, Apache Oozie, or Control-m); Building data models and constructing complex SQLs for querying RDBMS and Data warehousing frameworks (Apache Hive or Snowflake); Implementing CI/CD (Continuous Integration Continuous Deployment) processes by leveraging tools such as Maven, Gradle, Jenkins/Looper, JFrog, or Artifactory using Git, Perforce or Azure Repos for source control management; Aggregating and sending logs to monitor the data ingestion pipelines using Splunk; Implementing automations using shell scripting and python to streamline manual processes; Writing unit and integration test cases using Scala and Java; Utilizing big data storages like Azure ADLS Gen2, Blob storage, Apache HDFS, or Snowflake. Employer will accept any amount of experience with the required skills. 

Wal-Mart is an Equal Opportunity Employer.