Top Data Engineer Jobs in Pune

The GCP Data Engineer will develop, test, and maintain data pipelines, optimize SQL queries, assist in data model design, and troubleshoot data quality issues, while collaborating with team members on large-scale projects in a dynamic environment.

Lead technology solution delivery for clients by managing projects, translating requirements, mentoring teams, and ensuring high-quality outcomes through collaboration and innovation.

The Senior Software Engineer - Data Engineer will lead project phases, design technical solutions, manage team efforts, and collaborate globally while driving innovative data solutions.

Lead technology-driven projects using cloud solutions to solve business issues, mentor teams, and collaborate globally with clients for optimal outcomes.

The Full Stack Developer will design, develop, and maintain applications using Scala, Kafka, and NiFi, focusing on backend services and data pipelines while collaborating with frontend teams and implementing best coding practices.

Designs and develops data management solutions and pipelines using cloud/on-prem tools (Azure, Databricks, Synapse). Performs data profiling, modeling, analytics, automates data quality improvements, and collaborates with stakeholders to translate business needs into data solutions.

Design and maintain data pipelines on GCP, optimize SQL queries, build AI systems, and operationalize applications while supporting integrations and troubleshooting.

The GCP Data Engineer will design, develop, and maintain data pipelines on GCP, utilize Python and SQL, and support advanced data analytics. Responsibilities include API integration, developing AI pipelines, and managing data workloads effectively.

The Data Engineer will build and maintain data systems, ensuring data accuracy, accessibility, and security while collaborating with data scientists and leading team activities.

As a Data Engineer, you will design, develop, and maintain data solutions, ensuring data quality, creating data pipelines, and implementing ETL processes.

Responsible for building and maintaining data systems, developing data pipelines, architectures, and collaborating with data scientists on machine learning models.

As an Azure Data Engineer, you will develop solutions for large-scale projects, utilizing Azure technologies and software engineering practices to innovate and maintain data services.

Build and maintain systems for data processing and analysis, design AI/ML solutions on AWS, implement MLOps best practices, and ensure responsible AI usage while collaborating with cross-functional teams.

The Data Engineer will build and maintain data pipelines, ensure data quality, mentor junior engineers, and implement data security best practices.

Design, develop, and maintain end-to-end GCP data pipelines (batch and streaming), APIs, and AI workloads. Implement ETL/ELT, data quality, CI/CD, infrastructure as code (Terraform), monitor and troubleshoot pipelines, and support L3 operations. Work with Vertex AI, RAG/vector DBs, agentic frameworks, and deploy services via Docker/Cloud Run.

Lead and manage engineering teams, ensuring high-quality software delivery while fostering collaboration, mentoring team members, and optimizing engineering processes. Engage with stakeholders to translate business requirements into technical solutions, promoting innovation and driving operational effectiveness.

The Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality and collaborating across teams to prioritize data needs.

The Data Engineer will build and maintain systems for data collection, processing, analysis, and storage, ensuring data accuracy and security. Responsibilities include developing data pipelines, warehouses, and lakes, and collaborating with data scientists for machine learning model deployment.

Design, develop, and improve software solutions while ensuring high performance and reliability. Collaborate with cross-functional teams, manage databases, and lead technical initiatives. Foster a culture of code quality and continuous improvement.

The Data Engineer designs and develops software solutions, collaborates with teams, and implements data pipelines using AWS and Snowflake technologies, focusing on data transformation and analytics.

As a Data Engineer, you will innovate and maintain technology services, develop software systems for large projects, and work across all SDLC phases.

Build and maintain systems for data collection, storage, processing, and analysis. Collaborate with data scientists and lead team efforts in delivering effective solutions.

The Data Engineer II will build and maintain data pipelines, support ETL workflows, and collaborate on reporting solutions while ensuring data quality and system optimization.

The Data Engineer role involves designing and maintaining data pipelines, ensuring data quality, integrating data sources, and collaborating across teams to enhance BitGo's data infrastructure.

The Data Engineer will build and maintain ETL/ELT pipelines, implement automated data quality checks, optimize data storage, and create interactive visualizations. They will manage CI/CD pipelines and deliver production-ready data solutions.