
Data Engineer
3 weeks ago
DXC Technology is a Fortune 500 Global IT Services Leader with 130,000+ people in 70+ countries. We deliver mission critical IT services and transform global businesses, helping customers, colleagues and communities thrive.
Accelerate your career and reimagine the possibilities with DXC
We foster a culture that encourages innovation, supports wellbeing, and embraces change. Work on transformation programs modernizing operations and driving innovation across our customer's IT estate using the latest technologies in cloud, applications, security, IT outsourcing, business process outsourcing and the modern workplace.
SMART FIRST MESSAGING
DXC Technology believes strong connections and community are key to our success. We prioritize in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We are committed to fostering an inclusive environment where everyone can thrive.
Responsibilities- Designs 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
- 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.
- Big Data: Hadoop, Hadoop ecosystem, Spark, Scala, etc.
- Language and Toolset: SQL, Python, PySpark, ELK (Elasticsearch, Logstash, Kibana)
- Data Integration, ETL, Data Ingestion, Data Cleansing, Data Preparation, Database
- Data Warehouse, Data Lake, and BI concepts
- Health Insurance (HMO) for you and dependents upon hiring
- Life Insurance coverage from day 1 of employment
- Days' Vacation and 15 Days Sick Leave
- Expanded maternity leave up to 120 days
- Expanded paternity leave up to 30 days
- Non-Taxable Allowance (De-minimis)
- Company-sponsored trainings, upskilling, and certification
- SMART First Working Arrangements
- Healthy and encouraging work environment
- Recognition and Pay for Performance culture
- Supplemental Pay (Standby/Shift)
- Retirement Program
- Employee Assistance Program
Mid-Senior level
Employment typeFull-time
Job functionInformation Technology
IndustriesIT Services and IT Consulting
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