Data Engineering - DevOps
Data Engineering - DevOps
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1 Vacancy
Job Description
Job Description:
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
Technology and Functional Skills:
- 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
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. Were committed to fostering an inclusive environment where everyone can thrive.
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Employment Type
Full-Time
