What you'll do...
Position: Senior Data Engineer
Job Location: 221 River Street, Hoboken, NJ 07030
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, Information Technology, Engineering (any), or a related field plus 1 year of experience in software engineering or related experience; OR Bachelor's degree or the equivalent in Computer Science, Information Technology, Engineering (any), or a related field plus 3 years of experience in software engineering or related experience.
Skills required: Experience coding in Python and Pyspark. Experience performing complex aggregations and analytics on large-scale data using Pyspark. Experience utilizing Spark SQL for querying and analyzing structured data. Experience reading, processing, and transforming large datasets using Pyspark. Experience using Python for building Scalable APIs on Machine Learning Models and integrating to streaming pipelines. Experience designing efficient table schemas and data models in Hive to support analytical queries and reporting. Experience optimizing table performance through partitioning, bucketing, and appropriate storage formats. Experience developing and implementing data governance policies, ensuring data integrity and consistency. Experience enhancing query efficiency by utilizing indexing and performance tuning strategies. Experience automating and scheduling ETL workflows using Airflow to streamline data processing. Experience monitoring and managing pipeline execution with robust error handling and logging. Experience configuring task dependencies and parallelism for optimized query performance. Experience integrating diverse data sources and destinations for seamless data flow. Experience designing and developing interactive business metrics dashboards using Tableau. Experience connecting to various data sources and creating visualizations to present key performance indicators. Experience implementing user friendly features including filters, drilldowns, and interactive elements. Experience collaborating with stakeholders to ensure dashboards meet business requirements and providing actionable insights. Experience developing and maintaining applications using Kotlin. Experience writing clean efficient and maintainable code adhering to best practices. Experience integrating with Java libraries and frameworks to leverage existing ecosystem capabilities. Employer will accept any amount of experience with the required skills.
Salary Range: $131,997/year to $216,000/year. Additional compensation includes annual or quarterly performance 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.
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