Data Engineer

Build_MS_AG_CA_AI_1

Job Description:

Experience: Minimum of 12+ years in data management, data engineering, or related fields, with 5-7 years in a dedicated data engineering or data architecture role.

Data Modeling and Architecture: Proven experience in designing and implementing data architectures for scalability and performance, including dimensional modeling and schema design and in Datawarehousing projects

SQL Proficiency: Advanced knowledge of SQL for data querying, transformation, and database management tasks.

Smart analytics, GenAi and Machine Learning experience

Required Skills

Data Warehousing: Hands-on Datawarehousing solutions preferrable on cloud data warehousing platforms, such as AWS Redshift or Snowflake, with at least one completed project showcasing independent implementation.

ETL Development: Proficiency in building and managing ETL workflows using platforms such as Informatica, AWS Glue or other SQL-based ETL tools.

Database Management and Optimization: Strong skills in database management, query optimization, and performance tuning for large datasets.

Smart analytics, GenAI and Machne Learning experience

Project Management: Demonstrated ability to independently manage data engineering projects, from planning and design to execution and optimization.

Desired Qualifications

Data Transformation and Processing: Expertise in data cleansing, transformation, and structuring techniques to prepare data for analytics solutions

Cloud Computing and Infrastructure: Working knowledge of key AWS services (e.g., S3, Lambda, and Glue), with a focus on integrating these services within a scalable data architecture.

Terraform and CI/CD pipeline

Advanced Data Warehouse Concepts: Familiarity with best practices for data warehousing, including star and snowflake schemas, and experience in implementing data marts or data lakes.

Nice-to-Have Skills

Data Security and Compliance: Understanding of data security practices, including encryption, access control, and compliance, particularly in cloud environments.

Business Intelligence and Reporting: Basic exposure to BI tools such as Power BI, with an understanding of how data architectures support dashboard and reporting needs.

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.

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Experience Level

Senior Level