Position Summary...

What you'll do...

About Team:

Everyone has data, but the sheer volume of data at Walmart can be limitless. In the Data & Customer Analytics’ Fill rate team, we help Walmart manage this data by building pipelines and data lakes to prepare big data for analysis and unlocking actionable insights in real-time. We also use cross-departmental data and machine learning to build a holistic view of true profitability, saving millions of dollars across item categories and geographies while assisting our leadership in making better decisions faster.

What you'll do:

            •  Tech. Problem Formulation and understanding Business Context

            •  Stakeholder Management: Translate business requirements into projects, activities, and tasks. Serve as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend business insights pertaining to their area of work.

            • Tech. Problem Formulation: Requires advanced knowledge of Analytics/big data analytics / automation techniques and querying methods (ETL, BQ scheduler); Translate/ co-own business problems within one’s domain. Share use cases and give examples to demonstrate how the method would solve the business problem.

            •  Visual Storytelling: Advanced knowledge of Visualization tools and best practices for complex data types; Present to and influence the team and business stakeholders.

            ◦           Looker: Derived queries, user level permissions (AD group), html csf syntax for custom visuals

            •  Data Maintenance: Profile, analyse, and assess data quality. Test and validate data quality requirements under supervision. Execute operational Data Quality. Business metadata definitions and content data definitions

            •  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 understand the appropriate data set required to develop simple models by developing initial drafts. Supports the identification of the most suitable source for data. Maintains awareness of data quality.

            • 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 BigQuery; 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 identify and understand suitable extraction software. Reviews data from a quality perspective based on the guidelines given. Supports data processing.

            •  Data Modelling: Requires knowledge of: Cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modelling 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 profile and analyze source system data to determine data relationships, design constructs, consistency, and quality. Integrates data into existing physical data models. Defines the relational tables, primary and foreign keys, and stored procedures to create a data model structure. Identifies data entities and describes their relationships as a model. Builds a basic physical schema and objects based on a provided logical model. Creates proofs of concept to support design patterns.

            • Code Development and Testing: Requires knowledge of: Coding languages like SQL, Java, Scala, 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 using the recommended programming language and leveraging business, technical, and data requirements. Test the code using the recommended testing approach.

What you'll bring:

Experience in Java/Scala/Python.Have hands on knowledge on creating scalable architecture and best practices around creating and maintaining scalable/distributed architecture.Working knowledge of version control systems like SVN, GITWorking knowledge of scheduling tools like Airflow, Automic etc.Must have Knowledge of Kafka, Streaming Architecture and Distributed Databases.Hands on Working knowledge of cloud(Azure, GCP, AWS) preferably GCP.Ability to drive communication with stakeholders and translate requirements into HLD/LLD.Extensive knowledge on Spark and Big Data Technologies including deep understanding of runtime architecture.Extensive SQL knowledge and various optimization techniques.Working knowledge of databases (RDBMS/NoSQL) like MySQL etcAt least one (Tableau/Power BI/Looker) for data visualization

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.  That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.

We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Flexible, hybrid work
We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, Inc., is an Equal Opportunities 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 unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

Minimum Qualifications...

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

Minimum Qualifications:Option 1: Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science and 1 year's experience in software engineering or related field. 2 years' experience in data engineering, database engineering, business intelligence, or business analytics.

Preferred Qualifications...

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

Primary Location...BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India