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Metro location and common mid-level data engineering title increase applicant density despite moderate brand.
Medium: core data engineering skills transfer across industries, but Power BI and enterprise tooling bias fit.
Moderate: specific data/BI, cloud and tooling requirements but no explicit years constraint.
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Own development and optimization of data visualizations using Power BI.
Work with SQL databases including SQL Server, Postgres, Oracle for data handling and querying.
Manage cloud-based data workflows and deployments on platforms such as Azure and AWS.
Experience working with Power BI and SQL databases like SQL Server, Postgres, Oracle.
Proven skills in cloud platforms such as Azure or AWS.
Familiarity with software development tools including version control (GitHub) and Jenkins deployment.
Ability to work from DXC Noida office at least 3 days per week; location requirement is mandatory.
Experienced in data engineering roles involving database management and cloud integration.
Operationally capable of troubleshooting, debugging, and performance optimization for data pipelines and visualizations.
Comfortable collaborating directly with customers and handling deployment processes in cross-functional environments.