- 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 youll do:
People Data team is responsible to build and maintain People Data Lake platform and other analytical products to democratize access to People/HR data , enabling tech teams and business users across Walmart with relevant, complete, accurate and timely data by streamlining acquisition, curation and consumption of data from various HR systems . Our Team also builds and supports multiple use-cases on top of the Data lake platform that focus on embedding analytical capabilities and recommendations into the organisation s decision-making processes and workflows thereby increasing both the accessibility and actionability of people analytics.
You will have numerous opportunities to collaborate with
- Pr oduct managers to design user journeys, feedback loop and analyse user telemetry.
- Data architects to design, architect, and build resilient , scalable , maintainable distributed data pipelines.
- Platform Product managers to develop technology strategies to advance our data management practices and stay abreast of the industry trends.
- Data Scientists and Machine learning engineers to help deploy, operate , and optimise scalable AL/ML solutions
- Technical Program Manager s in dev eloping and executing technical business programs of strategic importance to Walmart people data .
What youll bring:
- Data Engineering , Cloud, Big Data Skills, Spark, Airflow. Python, Scala
- Expertise in Big Data Ecosystem tools : Hadoop, Hive, Apache Spark, Kafka, Druid, NoSQL DB s etc.
- Experience Building Batch ETL distributed data pipelines - with expertise in Hive/SQL, Apache Spark (Scala) or PySpark
- Experience in building Streaming data pipelines with Kafka, Spark Streaming etc.
- Experience working with Open-source frameworks that manages the storage of large datasets on distributed file systems (Apache Hudi,Deltalake)
- Experience working with Data Orchestration/workflow management tools such as Airflow
- Solid Cloud Development experience (on GCP or Azure)
- Proven experience in building Data quality frameworks and working with Data Governance solutions.
- Knowledge of Data Warehousing and Data Engineering best practices with experience implementing CI/CD, Log aggregation/Monitoring/alerting automations for production system.
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.
Minimum Qualifications
Option 1: Bachelors 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: Masters degree in Computer Science and 1 years experience in software engineering or related field. 2 years experience in data engineering, database engineering, business intelligence, or business analytics.
