Data Engineer II
IN KA BANGALORE Home Office Building 10, India
Walmart
What’s a career at Walmart or Sam’s Club like? To find out, explore our culture, our opportunities and the difference you can make.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:
Our Team focuses on managing and delivering world-class data assets, including creating and maintaining data standards, driving policy compliance, creating partnerships, and developing pipelines and self-service tools. DCA > SC Stores Team is one of the critical team within End to End Fulfilment area of Data and Customer Analytics handling Supply chain Stores metrics which enables data driven decision making.
What you'll do:
- 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.
- Interact with Walmart engineering teams across geographies to leverage expertise and contribute to the tech community.
- Provide business insights while leveraging internal tools and systems, databases and industry data.
- Drive the success of the implementation by applying technical skills, to design and build enhanced processes and technical solutions in support of strategic initiatives.
What you'll bring:
- 0 to <3years of Data Engineering experience in Big Data technologies like Distributed computing frameworks
- Experience in deploying solutions on any of cloud platforms (prefer GCP)
- Working knowledge of SQL /No-SQL and database technologies & big data skills Hadoop, SPARK, Scala, PySpark, SQL, Query Optimization
- Work exposure on Agile methodologies and DevOps would be added advantage
- Experience in Data Model design & CI/CD tools.
- Experience with Orchestration\Scheduling tools like Airflow/ Automic etc.
- Good Knowledge to Streaming data use-cases via Kafka or structured streaming etc
- Learn & Research on the go and work on both new requests/projects as well as support L2/L3 in production
- Exceptional communication and interpersonal skills - including negotiation, facilitation, and consensus building skills; ability to influence and persuade, without direct control
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 or related field. Option 2: 2 years' experience in software engineering or related field.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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Big Data CI/CD Computer Science DevOps Engineering GCP Hadoop Kafka Model design Pipelines PySpark Research Scala Spark SQL Streaming
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