Data Engineer I

Dun & Bradstreet

. Build and maintain applications responsible for ingesting data into the Dun & Bradstreet Contact Pipeline .

Posted 9/18/2026full-timeHyderabad • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python and SQL for application development and data analysis, with a strong focus on performance optimization and problem-solving. Proven ability to work in agile environments and collaborate effectively with cross-functional teams.

Highest-signal resume keywords

Python Application DevelopmentSQL Data AnalysisAgile MethodologyPerformance OptimizationCloud Services (AWS, Azure)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData AnalysisApplication DevelopmentPerformance AnalysisCode ReviewMetrics CreationProcess ImprovementThroughput AnalysisBottleneck Removal

Soft Skills

Problem SolvingAnalytical SkillsCommunicationTeam CollaborationIndependence

Tools & Technologies

AWSAzureCloud ServicesAgile ToolsSCRUM

Industry Keywords

Data IngestionApplication PerformanceLean PrinciplesData ScienceComputer Science

Tech Stack

Tools & technologies

AWSAzureCloudPythonSQL

About the role

Key responsibilities & impact

Build and maintain applications responsible for ingesting data into the Dun & Bradstreet Contact Pipeline
Take ownership of existing applications for further development and improvements
Analyze application performance and throughput blockers
Work with senior data engineers and other team members to remove application bottlenecks
Analyze codebases to increase performance
Analyze datasets to identify process improvements and bugs
Create metrics from existing applications to identify performance and throughput improvement areas
Perform code reviews and test team members’ code changes
Work as part of agile teams using lean principles and SCRUM methodology
Work closely with related groups to ensure business continuity

Requirements

What you’ll need

Bachelor’s degree (preferable in computer science, mathematics, data science, or a related field)
Experience with Python for application development (2-5 years)
Experience with SQL for data analysis and querying (2-5 years)
Ability to work independently to deliver critical projects on time
Strong problem solving and analytical skills
Good communication skills and ability to work closely with others in a team
Experience with hosted environments, AWS, Azure, or other cloud service providers preferred