Senior Data Engineer

Walmart•Bentonville, AR

20h

About The Position

What you'll do... Position: Senior Data Engineer Job Location: 805 Moberly Lane, Bentonville, AR 72716 Duties: 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. Problem Formulation: Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem. Applied Business Acumen: Provides recommendations to business stakeholders to solve complex business issues. Develops business cases for projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to overall business strategy. Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Recommends new processes and ways of working. Data Governance: Establishes, modifies, and documents data governance projects and recommendations. Implements data governance practices in partnership with business stakeholders and peers. Interprets company and regulatory policies on data. Educates others on data governance processes, practices, policies, and guidelines. Provides recommendations on needed updates or inputs into data governance policies, practices, or guidelines.

Requirements

Must have experience with: Data engineering, database engineering, business intelligence, or business analytics; big data development; HDFS, Hive, Hive UDF’s, MapReduce, Druid, Spark, Python, Hue, Shell Scripting, Unix; writing complex, highly optimized queries across large data sets; building database to power Big Data analytical system; building robust and scalable applications using SQL, Scala/Python and Spark; developing and maintain design documentation, test cases, performance and monitoring and performance evaluation using Git, Crontab, Putty, Jenkins, Maven, Confluence, ETL, Automic, Zookeeper, Cluster Manager; migrating data from legacy systems to new solutions in the Cloud using the advance Bigdata processing, distributed computing technologies and tools; developing the Logical Data Model and Physical Data Models including data warehouse and data mart designs; creating data pipelines and transform data to a structure that is relevant to the problem by selecting appropriate techniques; implementing data governance practices in partnership with business stakeholders and peers.
Employer will accept any amount of experience with the required skills.
Bachelor's degree or the equivalent in Computer Science, Information Technology, Engineering, or related field and 3 years of experience in software engineering or related field; OR Master’s degree or the equivalent in Computer Science, Information Technology, Engineering, or related field and 1 year of experience in software engineering or related field; OR 5 years of experience in software engineering or related field.

Responsibilities

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.
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.
Translates business problems within one's discipline to data related or mathematical solutions.
Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem.
Shares use cases and gives examples to demonstrate how the method would solve the business problem.
Provides recommendations to business stakeholders to solve complex business issues.
Develops business cases for projects with a projected return on investment or cost savings.
Translates business requirements into projects, activities, and tasks and aligns to overall business strategy.
Serves as an interpreter and conduit to connect business needs with tangible solutions and results.
Recommends new processes and ways of working.
Establishes, modifies, and documents data governance projects and recommendations.
Implements data governance practices in partnership with business stakeholders and peers.
Interprets company and regulatory policies on data.
Educates others on data governance processes, practices, policies, and guidelines.
Provides recommendations on needed updates or inputs into data governance policies, practices, or guidelines.