Top Data Engineer Jobs in Pune

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.

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

Lead a team of engineers on migration and re-engineering services to GCP. Must have experience in data engineering, SQL, and scripting.

The GCP Data Engineer will lead a team focused on cloud migration and development, requiring strong data engineering and management skills in a DevOps setting.

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

As a Lead Data Engineer, you'll design and implement solutions for Disability & Absence products, improve existing systems, and collaborate with teams to enhance customer experience.

Develop and maintain backend services using Python frameworks, manage data pipelines with Snowflake, and build frontend components using React. Collaborate on delivering scalable web applications in an Agile environment.

The Data Engineer is responsible for designing and managing IT solutions, working with business and technical stakeholders to ensure engineering best practices and quality delivery throughout the software lifecycle.

The Data Engineer at Ensono develops and optimizes data pipelines, ensuring high-quality data for AI/ML applications while collaborating with various teams to support business outcomes.

The Data Engineer role involves developing and deploying AI/ML solutions, building data engineering solutions, and applying statistical methods for insights.

Develop and deploy machine learning models, partner with teams to create solutions, and communicate findings to stakeholders.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

Assist in building scalable data workflows, support AI/ML projects, and contribute to mentor-led development and research on GCP features.

The Azure Data Engineer will monitor data pipelines, optimize workflows, collaborate with teams, and implement monitoring tools in Azure for data processing.

Lead the design and implementation of cloud solutions on Azure, ensuring security and operational standards, while mentoring junior engineers and collaborating with IT teams.

Lead the design and development of scalable data engineering products, optimize data processes, and mentor junior team members in a healthcare analytics context.

The Staff Data Scientist II will develop machine learning models, conduct experiments, and communicate insights while supporting data-driven decision making.

The Data Engineer II role focuses on building and maintaining ETL pipelines, designing data models, and collaborating with teams to enhance data products in an agile environment.

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.

The Data Engineer will build and maintain data pipelines, ensuring quality and performance while supporting business analytics and operations.

The Data Engineer will architect data lakes, curate datasets, automate data services, and develop training labs, leveraging cloud technologies and ensuring data quality for AI applications in climate and health.

The Data Engineer will build and maintain data pipelines, ensuring data quality for AI, machine learning, and data science applications. Responsibilities include data ingestion, processing, and collaboration for high-quality dataset delivery.