Data Engineer

icon briefcase Job Type : Full Time

Number of Applicants

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000+

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Job Description - Data Engineer

DXC Technology is an employer of choice with strong values, and fosters a culture of inclusion, belonging, and corporate citizenship.

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 . 

Your role

  • Designs and develops Data and Analytics solutions.
  • Performs data analysis, data architecture, and 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 promptly.
  • 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.

DXC Academy has been offering training, certification, and consulting services for companies in all industries since 1992. As part of the worldwide operating DXC Technology parent company, we provide local and global partnerships for your transformation and skill development.

A training course usually consists of two- or three-day seminars. It prepares you and your co-workers for the challenges of your working life. Training modules can be combined into one course. If required, they offer an option to prepare you and your co-workers for selected certificates. Coaching ensures the transfer of the acquired knowledge during a training course into working life. They offer to coach individuals and teams.

The benefits offered by DXC Technology include competitive pay, paid time off, and a health benefits package. The availability of benefits depends on whether an employee is part-time or full-time.

Some of the benefits offered to all DXC Technology employees include:

  • Competitive pay.
  • Paid training opportunities.
  • Vacation, sick time, and personal leave.
  • Flexible schedule with remote work options.

Some of the benefits only offered to full-time employees include:

  • Health insurance.
  • Vision insurance.
  • Life insurance.
  • Accidental death and dismemberment insurance.
  • Disability coverage.
  • Flexible spending accounts.
  • Access to healthy wellness programs.
  • 401(k) savings plans.
  • Parental leave.

DXC views professional and technical development as a corporate responsibility. It’s a strategic investment they make their people as they deliver for our customers.

DXC Technologist Reskilling program has helped more than 31,100 people at DXC complete advanced training in next-generation technologies and approaches, including Agile development, cloud, and virtualization.

Company culture

DXC Technology is committed to adiverse and inclusive corporate culture. They embrace diversity not only because it is the right thing to do for our people, but because it is good for business. Individual differences create a dynamic workplace at DXC.

About you

  • 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.
  • 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 Ingestions, Data Cleansing, Data Preparation, Database.
  • Data Warehouse, Data Lake, and Business Intelligence (BI) concepts.

How to apply

To apply for this position, simply click the “Apply” button on this page.

  • Application - Send in your details and application letter with a comprehensive resume via Apply direct! under the Jobs & Opportunities section.
  • Initial Phone Interview.
  • Assessment Test.
  • Offer Process.

Source/:

  • ph.prospel.com
  • dxc.career.com
  • indeed.com

Work rights

The opportunity is available to applicants in any of the following categories.

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