Job Overview
Location
Hyderabad - India
Job Type
Full-time
Category
Software Engineering
Date Posted
July 5, 2026
Full Job Description
đź“‹ Description
- • Design, build, and maintain scalable data pipelines that ingest, transform, and load structured and unstructured data from diverse sources into centralized data warehouses and data lakes.
- • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into robust, reusable data solutions.
- • Develop and optimize ETL/ELT processes using modern data engineering tools and frameworks to ensure high data quality, reliability, and performance.
- • Implement data governance practices including metadata management, data lineage tracking, and data quality monitoring to support compliance and trust in analytics outputs.
- • Work with cloud-based data platforms (e.g., AWS, Azure, or GCP) to deploy and manage data infrastructure, leveraging services such as data lakes, streaming pipelines, and orchestration tools.
- • Automate data workflows and monitoring systems to reduce manual intervention, improve system reliability, and enable proactive issue resolution.
- • Integrate external third-party data sources and APIs into internal data ecosystems to enrich Dun & Bradstreet’s proprietary business intelligence assets.
- • Participate in code reviews, documentation efforts, and knowledge-sharing sessions to uphold engineering standards and foster team growth.
- • Troubleshoot and resolve data pipeline failures, latency issues, and schema inconsistencies across production environments with minimal downtime.
- • Stay current with emerging data engineering trends, tools, and best practices to continuously improve the efficiency and scalability of the data platform.
- • Support the migration of legacy data systems to modern, cloud-native architectures while ensuring data integrity and continuity of service.
- • Contribute to the design of data models and schemas that align with business use cases and analytical needs across global teams.
- • Work within Agile/Scrum frameworks to deliver incremental value through sprints, stand-ups, and iterative feedback loops with cross-functional teams.
- • Ensure all data engineering solutions adhere to security protocols, data privacy regulations, and internal compliance standards.
- • Provide technical guidance and mentorship to junior engineers and data analysts on data pipeline architecture and best practices.
🎯 Requirements
- • Proven experience building and maintaining large-scale data pipelines using ETL/ELT tools and frameworks
- • Strong proficiency in SQL and at least one programming language such as Python, Scala, or Java
- • Hands-on experience with cloud data platforms (AWS, Azure, or GCP) and related services (e.g., S3, Redshift, BigQuery, Dataflow)
- • Experience with data orchestration tools such as Apache Airflow, Luigi, or Prefect
- • Familiarity with data warehousing concepts and dimensional modeling
- • Understanding of data governance, metadata management, and data quality frameworks
🏖️ Benefits
- • Competitive salary and performance-based bonuses
- • Comprehensive health, dental, and vision insurance
- • Generous paid time off and holiday schedule
- • Professional development stipend for courses, certifications, and conferences
Skills & Technologies
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About Dun & Bradstreet, Inc.
Dun & Bradstreet is a global provider of commercial data, analytics and insights on businesses. The company maintains a database of more than 500 million corporate entities worldwide, offering credit reports, risk management tools, sales and marketing intelligence, supply chain data, and compliance solutions. Founded in 1841, it serves enterprises, financial institutions and governments seeking to assess business creditworthiness, identify opportunities and mitigate risk. Its offerings are delivered through cloud-based platforms and APIs, integrating with customer systems to support informed decision-making across finance, procurement and regulatory functions.
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