Big Data Engineer
Role Overview
The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions.
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Key Skills for This Role
Full Job Posting
Job Description
Role Purpose
The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions.
Must Have:
- Strong design and coding skills using Big Data technologies such as Hadoop, Spark(Pyspark), Hive, and Airflow.
- Experience with at least one cloud platform or service, such as Azure or AWS.
- Data warehousing experience with expertise in at least one RDBMS, such as SQL Server or Oracle.
- Experience with any one ETL tool like Informatica, SSIS, Pentaho or Azure Data Factory.
- Good to Have:
- Experience developing as part of Agile/Scrum team is preferred
- Nice to have reporting skills on PowerBI/Tableau/QlikView.
- Passionate about delivering zero defect code that meets or exceeds the proposed defect SLA and have high sense of accountability for quality and timelines on deliverables.
- Essential Functions
- Work with product owners, business stakeholders and internal teams to understand business requirements and desired business outcomes.
- Assist in scoping and designing analytic data assets, implementing modelled attributes and contributing to brainstorming sessions.
- Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa’s product management teams and data scientists.
- Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users.
- Execute data engineering projects ranging from small to large either individually or as part of a project team.
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Deliver
About Wipro
Wipro is an Indian technology services and consulting company that helps organizations with digital transformation through offerings in cloud, cybersecurity, data and analytics, artificial intelligence, applications, and engineering.
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