Overview
On Site
USD 117,000.00 - 234,000.00 per year
Full Time
Skills
Business Cases
Data Governance
Data Science
Analytics
Service Level
Logical Data Model
Data Warehouse
Data Marts
Stored Procedures
Database
Data Flow
System Integration
Instructional Design
Test Cases
Software Design
Testing
Servers
Documentation
Computer Science
Information Technology
Software Engineering
Scripting
Python
PySpark
Scala
SQL
MySQL
Big Data
Apache Hadoop
Apache Hive
Workflow
Apache Airflow
Cloud Computing
Extract
Transform
Load
Google Cloud
Google Cloud Platform
Storage
Data Modeling
Writing
Data Engineering
Integration Testing
Data Quality
Finance
Life Insurance
Military
Job Details
What you'll do...
Position: Data Engineer III
Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089
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.
Minimum education and experience required: Master's degree or the equivalent in Computer Science, Information Technology, Engineering (any), or a related field; OR Bachelor's degree or the equivalent in Computer Science, Information Technology, Engineering (any), or a related field and 2 years of experience in software engineering or related experience.
Skills required: Experience coding skills to develop robust scripts for data ingestion and transformation (Python, pyspark, and scala). Experience writing complex queries to extract, manipulate and analyze data efficiently (SQL, BigQuery, and MySQL). Experience working on big data technologies including Hadoop, HIVE. Experience working on orchestrion tools for ETL workflows (Apache Airflow). Experience working on cloud services and using them to build scalable ETL pipelines (Google cloud platform, Google cloud storage, and Google dataproc). Experience working on Data transformation tools to build sophisticated data modelling, transformation, and data accuracy pipelines (DBT). Experience with designing and writing scalable data engineering applications and create robust unit and end to end integration testing strategy to ensure data quality. Employer will accept any amount of experience with the required skills.
Salary Range: $117,000/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives. Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) and Stock equity incentives.
Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com.
Wal-Mart is an Equal Opportunity Employer.
#LI-DNI #LI-DNP
Position: Data Engineer III
Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089
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.
Minimum education and experience required: Master's degree or the equivalent in Computer Science, Information Technology, Engineering (any), or a related field; OR Bachelor's degree or the equivalent in Computer Science, Information Technology, Engineering (any), or a related field and 2 years of experience in software engineering or related experience.
Skills required: Experience coding skills to develop robust scripts for data ingestion and transformation (Python, pyspark, and scala). Experience writing complex queries to extract, manipulate and analyze data efficiently (SQL, BigQuery, and MySQL). Experience working on big data technologies including Hadoop, HIVE. Experience working on orchestrion tools for ETL workflows (Apache Airflow). Experience working on cloud services and using them to build scalable ETL pipelines (Google cloud platform, Google cloud storage, and Google dataproc). Experience working on Data transformation tools to build sophisticated data modelling, transformation, and data accuracy pipelines (DBT). Experience with designing and writing scalable data engineering applications and create robust unit and end to end integration testing strategy to ensure data quality. Employer will accept any amount of experience with the required skills.
Salary Range: $117,000/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives. Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) and Stock equity incentives.
Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com.
Wal-Mart is an Equal Opportunity Employer.
#LI-DNI #LI-DNP
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.