Data Engineer III

Posted 19 Days Ago
Be an Early Applicant
Bangalore, Bengaluru Urban, Karnataka
Mid level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Role
In this role, you will optimize Walmart's merchandising processes by designing and building data pipelines to analyze large datasets and create impactful visualizations. You will also maintain the infrastructure to enhance data-driven decisions and collaborate with product teams on initiatives. Responsibilities include building scalable systems and improving data processes.
Summary Generated by Built In

Position Summary...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.

What you'll do...

About Team

The Global Data Organization @ Walmart Global Tech in Bangalore provides support for Global Data, Data Foundation Infrastructure, Visualization Portal, Machine Learning Platform, Customer platform and Data Science products that form part of core platforms and services that drive Walmart business. The group also develops analytical products for several verticals like merchandising, supply chain, pricing, customer, HR etc. Our team which is part of Global Data Bangalore is responsible for creating and supporting the next generation Data Platform which comprises of building a central data lake, regional data lake for compliance reasons, frameworks that support - data ingestion in batch and real time manner, data processing, data quality and governance implementation and surfacing this data & metadata to users. The team plays an important role to make Walmart data driven, by enabling all domain teams to use the platform and frameworks. User experience is key for the success for this team.

We are looking for Data Engineer to join Merchandising team at Walmart Global Tech. We know applying for and taking on a new job at any company requires a leap of faith. We want you to feel comfortable and excited to apply at Walmart Global Tech. The team at Bangalore has an open fun culture where each idea is challenged as well as respected. If you are a software geek, who loves to solve complex problems and are interested to learn new things daily then Walmart Global Tech is the place for you

What you'll do:

As a part of Merchandise team which works for multiple Walmart markets you will have a significant impact on Walmart’s business. You will play a crucial role in optimising the Merchandising processes and ensure efficient utilisation.

You will design and build data pipelines to analyse huge datasets, create powerful visualisations to derive insights and partner with the product team to brain storm and act on these opportunities. You will build and maintain infrastructure and platform to derive maximise data driven impact. You must be able to accurately prioritise projects, make sound judgments, work to improve the processes, and get the right things done.

As a Data Engineer III you will own and build scalable and highly available distributed systems in production and will have following responsibilities:

  • Develop and implement best-in-class Data pipelines to ensure on time availability of Data and Insights.
  • Enable data scientists, business and product partners to fully leverage our platform.
  • Demonstrate and transform business requirements to code, specific analytical reports and tools.
  • Design, build, test and deploy cutting edge solutions at scale, impacting multi-billion-dollar business. 
  • Work closely with product owner and technical lead and play a major role in the overall delivery of the assigned project/enhancements.
  • Learn & Research on the go and work on both new requests/projects as well as support production.
  • Provide business insights while leveraging internal tools and systems, databases and industry data.
  • Own a data subject and ensure availability and accuracy
  • Document requirements, data lineage, subject matter in both business and technical terminology.

What you'll bring:

  • Bachelor’s degree in computer science or related discipline with 3+ years’ experience
  • Minimum years of experience in Big Data and distributed computing.
  • Minimum 3 years of experience programming in Java, Scala, Python.
  • Proven experience building pipelines on Big Data Technologies/Stack – Hadoop, Spark, Hive, Presto, Kafka, Atomic Scheduler and MapReduce to name a few.
  • Deep understanding of the Hadoop ecosystem and strong conceptual knowledge in Hadoop architecture components and experience in working on at least one Big Data technology with Java, Python or Scala.
  • Strong knowledge of deploying and managing applications in Azure or GCP.
  • Strong scripting skills to process large amount of data and highly proficient in SQL.

Preferred Qualifications:

  • Solid knowledge of Linux systems with the ability to troubleshoot issues in complex, distributed, multi-tier architectures.
  • Experience in secure, scalable and highly available services.
  • Experience with data science and machine learning is a plus.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP ‘big data’ technologies.
  • Excellent hands-on working knowledge and experience with object-oriented/object function scripting languages: Python, Java, Scala, and development of Micro-services.
  • Good written and verbal communication skills.

About Global Tech.

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.3 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption. 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 that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and 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.

Equal Opportunity Employer:

Walmart, Inc. 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, 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 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.

Primary Location...4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India

Top Skills

Python
SQL
The Company
HQ: Bentonville, AR
578,950 Employees
Hybrid Workplace

What We Do

Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.

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