
Data Engineering Associate Manager
1 day ago
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.
OverviewDesigns and develops Data and Analytics solutions; 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.
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
- Azure data platform and components: Azure Data Factory, Databricks, Blob Storage, Synapse, SQL DB/DW, Event Hubs, etc.
- Power BI
- 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
- Seniority level: Entry level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: IT Services and IT Consulting
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