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070725 AI Engineer_8_Data&AI

DXC Technology

070725 AI Engineer_8_Data&AI

full-timePosted: Dec 1, 2025

Job Description

Categories: Data Engineering, AI/ML, Cloud Computing

Job Description:

Mandatory Requirements:

1. 6+ years of experience in Big Data technologies with strong proficiency in Azure Databricks, PySpark/SQL, and DBT for end-to-end data pipeline design and transformation.

2. Hands-on expertise in Azure Data Engineering services including ADLS, Azure Data Factory, Azure Synapse, Delta Lake, and Azure DevOps for CI/CD automation.

3. Demonstrated ability to build and optimize scalable ELT/ETL workflows leveraging Databricks and DBT for data modeling, transformations, and orchestration across diverse data sources.

4. Proven experience in implementing data quality, lineage, and governance using Unity Catalog. Strong background in data architecture including star/snowflake schema design, data partitioning, and performance optimization in Databricks.

5. Proficiency in integrating and curating data from structured and unstructured sources, ensuring reliability, security, and cost efficiency

Basic Qualifications:

1. Bachelor’s or master’s degree in computer science or a related discipline.

2. Good communication & Interpersonal skills to interact with customers and partner teams.

3. Must be a quick learner & Self-starter who requires minimal supervision.

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.

Locations

  • BANGALORE, KA, India

Salary

Estimated Salary Rangemedium confidence

147,000 - 198,000 USD / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Azure Databricksadvanced
  • PySpark/SQLadvanced
  • DBTadvanced
  • Azure Data Factoryadvanced
  • Azure Synapseadvanced
  • Delta Lakeadvanced
  • Unity Catalogintermediate
  • Azure DevOpsintermediate

Required Qualifications

  • 6+ years in Big Data technologies with proficiency in Azure Databricks, PySpark/SQL, and DBT (experience)
  • Hands-on expertise in Azure Data Engineering services (ADLS, Azure Data Factory, Azure Synapse, Delta Lake, Azure DevOps) (experience)
  • Bachelor’s or Master’s degree in Computer Science or related discipline (degree)
  • Good communication and interpersonal skills (experience)
  • Quick learner and self-starter requiring minimal supervision (experience)

Responsibilities

  • Design and build end-to-end data pipelines using Azure Databricks, PySpark/SQL, and DBT
  • Leverage Azure Data Engineering services including ADLS, Azure Data Factory, Azure Synapse, Delta Lake, and Azure DevOps for CI/CD automation
  • Build and optimize scalable ELT/ETL workflows for data modeling, transformations, and orchestration across diverse data sources
  • Implement data quality, lineage, and governance using Unity Catalog
  • Design data architecture including star/snowflake schemas, data partitioning, and performance optimization in Databricks
  • Integrate and curate data from structured and unstructured sources ensuring reliability, security, and cost efficiency

Benefits

  • Health: Comprehensive health insurance coverage
  • Retirement: 401k matching contributions
  • Professional Development: Training and certification opportunities in Azure and Data Engineering
  • Work-Life Balance: Flexible hybrid work model prioritizing in-person collaboration and wellbeing
  • Inclusive Environment: Commitment to fostering an inclusive workplace where everyone can thrive

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DXC Technology logo

070725 AI Engineer_8_Data&AI

DXC Technology

070725 AI Engineer_8_Data&AI

full-timePosted: Dec 1, 2025

Job Description

Categories: Data Engineering, AI/ML, Cloud Computing

Job Description:

Mandatory Requirements:

1. 6+ years of experience in Big Data technologies with strong proficiency in Azure Databricks, PySpark/SQL, and DBT for end-to-end data pipeline design and transformation.

2. Hands-on expertise in Azure Data Engineering services including ADLS, Azure Data Factory, Azure Synapse, Delta Lake, and Azure DevOps for CI/CD automation.

3. Demonstrated ability to build and optimize scalable ELT/ETL workflows leveraging Databricks and DBT for data modeling, transformations, and orchestration across diverse data sources.

4. Proven experience in implementing data quality, lineage, and governance using Unity Catalog. Strong background in data architecture including star/snowflake schema design, data partitioning, and performance optimization in Databricks.

5. Proficiency in integrating and curating data from structured and unstructured sources, ensuring reliability, security, and cost efficiency

Basic Qualifications:

1. Bachelor’s or master’s degree in computer science or a related discipline.

2. Good communication & Interpersonal skills to interact with customers and partner teams.

3. Must be a quick learner & Self-starter who requires minimal supervision.

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.

Locations

  • BANGALORE, KA, India

Salary

Estimated Salary Rangemedium confidence

147,000 - 198,000 USD / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Azure Databricksadvanced
  • PySpark/SQLadvanced
  • DBTadvanced
  • Azure Data Factoryadvanced
  • Azure Synapseadvanced
  • Delta Lakeadvanced
  • Unity Catalogintermediate
  • Azure DevOpsintermediate

Required Qualifications

  • 6+ years in Big Data technologies with proficiency in Azure Databricks, PySpark/SQL, and DBT (experience)
  • Hands-on expertise in Azure Data Engineering services (ADLS, Azure Data Factory, Azure Synapse, Delta Lake, Azure DevOps) (experience)
  • Bachelor’s or Master’s degree in Computer Science or related discipline (degree)
  • Good communication and interpersonal skills (experience)
  • Quick learner and self-starter requiring minimal supervision (experience)

Responsibilities

  • Design and build end-to-end data pipelines using Azure Databricks, PySpark/SQL, and DBT
  • Leverage Azure Data Engineering services including ADLS, Azure Data Factory, Azure Synapse, Delta Lake, and Azure DevOps for CI/CD automation
  • Build and optimize scalable ELT/ETL workflows for data modeling, transformations, and orchestration across diverse data sources
  • Implement data quality, lineage, and governance using Unity Catalog
  • Design data architecture including star/snowflake schemas, data partitioning, and performance optimization in Databricks
  • Integrate and curate data from structured and unstructured sources ensuring reliability, security, and cost efficiency

Benefits

  • Health: Comprehensive health insurance coverage
  • Retirement: 401k matching contributions
  • Professional Development: Training and certification opportunities in Azure and Data Engineering
  • Work-Life Balance: Flexible hybrid work model prioritizing in-person collaboration and wellbeing
  • Inclusive Environment: Commitment to fostering an inclusive workplace where everyone can thrive

Target Your Resume for "070725 AI Engineer_8_Data&AI" , DXC Technology

Get personalized recommendations to optimize your resume specifically for 070725 AI Engineer_8_Data&AI. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "070725 AI Engineer_8_Data&AI" , DXC Technology

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

DXC_TechnologyData EngineeringAI/MLCloud Computing

Answer 10 quick questions to check your fit for 070725 AI Engineer_8_Data&AI @ DXC Technology.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.