Data and AI PH - P&G - Data Engineering - DevOps

DXC Technology•Tacoma, WA

About The Position

Job Description: Designs and develops Data and Analytics solutions Performs data analysis, data architecture, data engineering activities Designs and builds data ingestion pipelines; develops data transformation, cleansing and preparation processes Designs and builds data storage solutions including database objects and data structures Takes ownership of complex data-level or database incidents and problems and provides resolutions in a timely manner Provides advisory and consultation services to determine the right solution Utilizes best practices, work plans, checklists and defined processes Proactively supports application teams Performs optimization Participates in project technical reviews Leads or participates in work product reviews Engages SMEs or vendors to provide assistance to resolve more complex issues as required At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here. DXC Technology (NYSE: DXC) helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds. The world's largest companies and public sector organizations trust DXC to deploy services to drive new levels of performance, competitiveness, and customer experience across their IT estates. Learn more about how we deliver excellence for our customers and colleagues at DXC.com.

Requirements

Azure data platform and components: Azure Data Factory, Databricks, Blob Storage, Synapse, SQL DB/DW, Event Hubs, etc.
AWS data platform and components: S3, Redshift, Spectrum, Athena, Aurora, CLI, etc.
GCP data platform and components: BigQuery, Dataflow, Dataprep, Pub/Sub, etc.
Non-cloud native: Informatica, Talend, DataStage, SAP BODS, etc.
Big Data: Hadoop, Hadoop ecosystem, Spark, Scala, etc.
Language and Toolset: SQL, Python, PySpark, ELK (Elasticsearch, Logstash, Kibana)
Data Integration, Extract-Transform-Load (ETL), Data Ingestion, Data Cleansing, Data Preparation, Database Data Warehouse, Data Lake, and Business Intelligence (BI) concepts

Responsibilities

Designs and develops Data and Analytics solutions
Performs data analysis, data architecture, data engineering activities
Designs and builds data ingestion pipelines; develops data transformation, cleansing and preparation processes
Designs and builds data storage solutions including database objects and data structures
Takes ownership of complex data-level or database incidents and problems and provides resolutions in a timely manner
Provides advisory and consultation services to determine the right solution
Utilizes best practices, work plans, checklists and defined processes
Proactively supports application teams
Performs optimization
Participates in project technical reviews
Leads or participates in work product reviews
Engages SMEs or vendors to provide assistance to resolve more complex issues as required