Top Data Engineer Jobs in Pune

The role involves collaborating with teams to implement technology solutions, manage projects, enhance data quality, and mentor junior staff while focusing on supply chain operations.

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

The GCP Data Engineer will develop and maintain data pipelines, optimize SQL queries in BigQuery, assist in data modeling, and ensure data quality. Collaboration with team members to meet data requirements is essential.

Technical leadership for a team responsible for GCP data engineering, focusing on development, deployment, operations, and migration of services from on-premise to cloud.

Design, build, and optimize data pipelines and ETL processes in Azure Databricks, ensuring performance, reliability, and scalability while collaborating with teams to translate business needs into technical solutions.

Lead a technical team to deliver data engineering solutions, manage project lifecycle, and collaborate with stakeholders to optimize supply chain operations across industries.

The Principal Data Engineer leads technical strategy and architecture for enterprise data programs, ensuring solution leadership, engineering standards, and scalability.

The role involves validating the integrity of data pipelines in Big Data environments, using SQL, Spark testing, and automation to ensure high data quality.

The Data Engineer will build complex data pipelines, implement DW projects in a Big Data environment, and work with a variety of databases. Strong skills in Python, PySpark, and Agile methodologies are essential.

Lead the design and optimization of data infrastructures, mentor engineers, and develop scalable data solutions while ensuring data integrity and security.

Lead projects using cloud technologies to address complex business challenges, mentor teams, and ensure scalable technology solutions, focusing on client satisfaction and project delivery.

Design and deploy AI/ML solutions on AWS, build data pipelines using Databricks and PySpark, and maintain legacy systems. Collaborate with teams to ensure efficiency and performance optimization in data processing.

The GCP Data Engineer will develop and maintain data pipelines and ETL/ELT processes using Python and SQL on Google Cloud Platform, working in a collaborative environment to ensure data quality and availability.

Lead technical role for engineering team, focusing on development and operations in Cloud. Involves migrations, scripting, and process enhancements.

As a Business Intelligence Data Engineer, you'll develop scalable data architectures and models, manage data pipelines, and enhance analytics using AI tools.

Lead the design and development of scalable web applications using Python and React.js, mentoring a team of developers and collaborating across functions.

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

As a Senior Software Product Data Engineer, you will design, develop, and optimize data pipelines, ensuring data quality and integrity while collaborating with teams to improve products and support machine learning operationalization.

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

The role involves designing and building advanced cloud-based data solutions using Azure technologies, participating in system integration projects, and leveraging Python and SQL for application development and data warehousing.

As a Data Engineer, implement data pipelines and analytics solutions using AWS technologies, collaborating closely with Product Owners and AWS Architects.

As a Data Engineer, you will implement data pipelines and analytics to support decision-making using AWS technologies and Machine Learning.

The role involves developing cloud solutions on AWS, maintaining CI/CD pipelines, and collaborating with cross-functional teams to deliver high-quality software.

The Data Engineer maintains, improves, and manipulates data in operational and analytics databases, collaborating with various teams to implement database requirements and troubleshoot issues.

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