Role Summary
DXC Technology is hiring an Analyst I Data Engineering for its facility in Hyderabad, Telangana. In this data sciences role, you will contribute to data processing, data integration, and pipeline maintenance projects. Working alongside senior engineers, you will execute data engineering tasks, enforce data quality standards, perform data analysis for analytical insights, and build scalable reporting solutions.
Key Responsibilities
- Pipeline Development & Maintenance: Assist in building, maintaining, and optimizing batch and real-time data ingestion pipelines and ETL workflows.
- Data Integration & Processing: Combine data from disparate systems, apply business rules, and prepare data structures for analytics and reporting teams.
- Data Quality & Governance: Monitor data quality metrics, troubleshoot data pipeline bottlenecks, and ensure data integrity across storage environments.
- Analysis & Insights: Conduct data analysis to extract actionable business insights, design dashboards, and support enterprise decision-making.
- Best Practices & Standards: Apply industry-standard data engineering guidelines, documentation procedures, and version control methods.
Key Qualifications
- Education: Bachelor’s degree in Computer Science, Data Science, Information Technology, or an equivalent combination of education and experience.
- Experience: Typically 2+ years of hands-on professional work experience in data engineering and data pipeline operations.
- Core Technical Stack: Proven proficiency with core data engineering tools, SQL databases, data processing libraries, and integration concepts.
- Professional Attributes: Strong analytical thinking, excellent problem-solving ability, and a commitment to continuous technological learning.
- Nice to Have: GCP Professional Data Engineer or Cloudera Certified Data Analyst certifications, an advanced degree, or experience with big data processing frameworks.
About DXC Technology
DXC Technology is a global Fortune 500 IT services provider that helps enterprise clients run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security across cloud networks.