Senior Data Engineer Job at Blackbaud (Hyderabad)

Senior Data Engineer

Blackbaud

Location:
India , Hyderabad

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Data Engineering at Blackbaud is responsible for ingestion, transformation and processing of data that powers Blackbaud Data Intelligence and Advanced analytics products. The data managed by the team supports data science, data enrichment, research and data analysis as well as making data operationally able to be consumed by Blackbaud’s products and services. As a Senior Data Engineer, you will take responsibility for technical design, implement complex features and provide mentorship in the Data Engineering discipline of Infrastructure Engineering & Cloud Operations (IECO). You build data intensive solutions that are highly available, scalable, reliable, secure, and cost-effective. You contribute to our common code repositories; help establish and enforce coding standards for data engineering teams.

Job Responsibility:

Design, develop and operate high performance, large volume data structures for data-powered products and data science
Implement efficient, distributed and scalable pipelines and integrate data from multiple sources to create data products
Implement design patterns that support data ingestion, data movement, transformation, aggregation, and much more
Collaborate with Product managers, Software engineers, and Data Scientists, and work towards achieving key results
Build high quality production level code, test and deploy data pipelines
Undertake complex tasks that are large and diverse in scope and/or critical in nature
Design and develop breakthrough products, services or technological advancements that expand our business
Participate in code reviews, brainstorm design approaches with peers and mentor junior engineers
Work in fast paced agile environment, participate in scrum ceremonies and help ensure that the team meets sprint commitments

Requirements:

6+ years of software and/or data engineering experience
Experience with big data technologies such as Spark, Databricks, Delta lakes, Hive, etc.
4+ years of experience in core languages such as Python, Scala or Java (Preferably Python)
Hands-on experience leveraging PaaS offerings in a public cloud environment (Azure preferred)
Experience with Big Data design patterns and distributed computing tools/frameworks
Proven expertise building big data pipelines (batch processing, real-time streaming)
Working knowledge of TDD, CI/CD concepts and tools (Preferably Azure DevOps)
Advanced understanding of unit testing/integration testing/QA/Validation
Knowledge of data security and authentication protocols
Experience in areas of data governance, privacy and regulation and professional experience with architectural approaches to data security
Have experience integrating multiple data sources into a common set of data assets

Additional Information:

Job Posted:
April 01, 2026

Work Type:

Remote work

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