Data Engineer III - Ad Tech
Walmart

Job Info

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What you'll do at

Position Summary...

What you'll do...

Job Description

Tech. Problem Formulation Requires knowledge of: Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights. To identify possible options to address the business problems within one's discipline through relevant analytical methodologies. Demonstrate understanding of use cases and desired outcomes.

Applied Business Acumen: 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.

Understanding Business Context Requires knowledge of: Industry and environmental factors; Common business vernacular; Business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; Directly relevant business metrics and business areas. To support the development of business cases and recommendations. Drives delivery of project activity and tasks assigned by others. Supports process updates and changes. Support, under guidance, in solving business issues.

Data Governance Requires knowledge of: Data value chains; Data processes and practices; Regulatory and ethical requirements around data; Data modeling, storage, integration, and warehousing; Data value chains (identification, ingestion, processing, storage, analysis, and utilization); Data quality framework and metrics; Regulatory and ethical requirements around data privacy, security, storage, retention, and documentation; Business implications on data usage; Data Strategy; Enterprise regulatory and ethical policies and strategies. To support the documentation of data governance processes. Supports the implementation of data governance practices.

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 Strategy Requires knowledge of: Understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets. To understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function.

Data Source Identification Requires knowledge of: Functional business domain and scenarios; Categories of data and where it is held; Business data requirements; Database technologies and distributed datastores (e.g., SQL, NoSQL); Data Quality; Existing business systems and processes, including the key drivers and measures of success. To support 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 Transformation and Integration Requires knowledge of: Internal and external data sources including how they are collected, where and how they are stored, and interrelationships, both within and external to the organization; Techniques like ETL batch processing, streaming ingestion, scrapers, API and crawlers; Data warehousing service for structured and semi-structured data, or to MPP databases such as Snowflake, Microsoft Azure, Presto or Google Big Query; Pre-processing techniques such as transformation, integration, normalization, feature extraction, to identify and apply appropriate methods; Techniques such as decision trees, advanced regression techniques such as LASSO methods, random forests etc.; Cloud and big data environments like EDO2 systems. To extract 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 Modeling Requires knowledge of: Cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc. ; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques. To analyze 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 Requires knowledge of: Coding languages like SQL, Scala, Java, Python, and others; Testing methods such as static, dynamic, software composition analysis, manual penetration testing and others; Business, domain understanding. To write 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.

Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models' compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.

Your Responsibility

Design, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide drive value from data

Interact with Sam's Club engineering teams across geographies to leverage expertise and contribute to the tech community.

Engage with Product Management and Business to drive the agenda, set your priorities and deliver awesome product features to keep platform ahead of market scenarios.

Identify right open-source tools to deliver product features by performing research, POC/Pilot and/or interacting with various open-source forums

Develop and/or contribute to add features that enable adoption of data

Deploy and monitor products on Cloud platforms

Develop and implement best-in-class monitoring processes to enable data applications meet SLAs

Guide the team technically for end-to-end solution Lifecyle.

Our Ideal Candidate

You have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people who will keep challenging you at every stage. You have strong problem solving, analytic, decision- making and excellent communication with interpersonal skills. You are self-driven and motivated with the desire to work in a fast-paced, results-driven agile environment with varied responsibilities.

Your Qualifications

Big data development experience including Hadoop.

Experience in GCP/Azure cloud platforms

Experience building streaming pipeline using spark streaming or kafka or similar.

Experience with workflow management tools such as Jenkins, Airflow, Oozie or similar.

Experience working with SQL or RDBMS databases such SQL server, mySQL, DB2, etc.

Experience working with No-SQL databases such as Cassandra, Bigquery, Cosmos DB etc.,

Experience building enterprise DWH using Teradata or Hadoop/Hive or Bigquery or Azure Synapse

Experience running spark/hadoop workloads using Dataproc, Dataflow, Cloud composer, EMR, HD Insights or similar.

Proven working expertise with Big Data Technologies Spark, PySpark, hive, and SQL.

Demonstrates up-to-date expertise in Data Engineering, complex data pipeline development

Architect, Design, develop, implement, and tune distributed data processing pipelines that process large volume of data; focusing on scalability, low -latency, and fault-tolerance in every system built.

Exposure to Data Governance ( Data Quality, Metadata Management, Security, etc.)

Experience with Java, Scala and/or Python to write data pipelines and data processing layers

Demonstrates expertise in writing complex, highly optimized queries across large data sets

Knowledge and experience in Kafka, Storm, Druid and Presto

Good Knowledge on object-oriented programming & build tools such as maven, sbt or similar.

Bachelors Degree with 4-6 years or Masters with 2-4 Years experience

Live our Values
Culture Champion
• Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart's commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.
Servant Leadership
• Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.
Embrace Change
Curiosity & Courage
• Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Digital Transformation & Change
• Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.
Deliver for the Customer
Customer Focus
• Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans.
Strategic Thinking
• Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy.
Focus on our Associates

Diversity, Equity & Inclusion
• Embraces diversity in all its forms and actively supports diversity of ideas and perspectives, as well as diversity goal programs.
Collaboration & Influence
• Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action.

Talent Management
• Contributes to an environment allowing everyone to bring their best selves to work, demonstrates engagement and commitment to the team, and recognizes others' contributions and accomplishments.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Computer Science and 2 years' experience in software engineering or related field. Option 2: 4 years' experience in
software engineering or related field. Option 3: Master's degree in Computer Science.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data engineering, database engineering, business intelligence, or business analytics, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field

Primary Location...
603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America

About Sam's Club

Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, opening more than 600 clubs in the U.S. and 100 clubs internationally. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners.

Sam's Club employs about 110,000 associates in the U.S. The average club is 134,000 square feet and offers bulk groceries and general merchandise. Most clubs also have specialty services, such as a pharmacy, an optical department, a photo center, or a tire and battery center.

Sam's Club is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.

All the benefits you need for you and your family

• Multiple health plan options, including vision & dental plans for you & dependents
• Free Membership and discounts in fresh produce
• Financial benefits including 401(k), stock purchase plans, life insurance and more
• Paid education assistance with college degrees through our Live Better U program
• Parental Leave
• Pay during military service
• Paid time off - to include vacation, sick leave and parental leave
• Short-term and long-term disability for when you can't work because of injury, illness, or childbirth

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 specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com/Benefits.

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