Senior Data Engineer

Walmart Canada

$90K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Computer Science or related field plus 1 year experience, or Bachelor's degree plus 3 years experience in software engineering.
  • Proficiency in object-oriented programming languages (Python, Scala, Java).
  • Experience with shell scripting on UNIX/LINUX platforms.
  • Expertise in designing and developing ETL data pipelines with big data processing frameworks (e.g., Spark, Hadoop).
  • Familiarity with data warehouse technologies such as Snowflake, Redshift, or Google Big Query.

Responsibilities

  • Identify and analyze business problems using analytics and big data solutions.
  • Support business case development and project delivery activities.
  • Develop and maintain data pipelines to structure data relevant to business needs.
  • Create and validate Logical and Physical Data Models for data warehouses.
  • Perform data quality checks and evaluate existing data models for discrepancies.
  • Train end-users on data modeling concepts and provide documentation.
  • Write and test code to develop application features and ensure successful deployment.

Benefits

  • Opportunity to work with cutting-edge data technologies and tools.
  • Collaborative work environment with focus on continuous improvement.
  • Professional development and training opportunities available.
  • Flexible work schedule and potential for remote work options.
  • Engagement in impactful projects that address real business challenges.
Full Job Description
What you'll do...

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: Coding in an object-oriented programming language (Python, Scala or Java); Shell scripting using UNIX/LINUX platforms; Designing and developing ETL data pipelines with big data processing frameworks (Spark, Hadoop, AWS EMR, AWS EC2, AWS S3, AWS Redshift, Azure Data Bricks, Azure Blob Storage, Azure Data Factory, GCP Data Proc); Automating job scheduling using a workflow management platform (Automic, Airflow, Azure Data Factory); Implementing and optimizing Spark applications and related components including Spark Core Engine, Spark SQL, Spark Streaming, MLlib; Data warehouse such as Snowflake, Redshift, Google Big Query; Developing applications using Apache Kafka, Confluent Kafka and Google Pub/Sub streaming processing frameworks; Building interactive dashboards using latest data visualization technologies like Tableau, Power BI, Google Data Studio; Relational Database Management Systems (MySQL, PostgreSQL, JDBC); CICD automation using Jenkins, GitHub actions; and Agile and Waterfall methodologies for project management. Employer will accept any amount of experience with the required skills.

Rate of pay: $90,000.00 - 180,000.00/year

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