Top Data Engineer Jobs in Pune

The Azure Data Engineer will maintain data infrastructure, develop data pipelines, analyze data, and enhance data quality while collaborating with teams.

The Data Engineer will manage Snowflake infrastructure, develop Tableau reports, implement data modeling, and ensure compliance, enhancing data accessibility and analytics capabilities.

Responsible for managing Snowflake infrastructure, enhancing Tableau reports, ensuring data integrity, and developing data strategies for business insights.

As an Azure Data Engineer, design and maintain data pipelines, optimize data flows, and implement security measures while collaborating with cross-functional teams.

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.

As a Data Engineer III, you will collaborate with stakeholders to design and develop data management solutions, analyze data, and enhance data quality using advanced analytics and engineering techniques.

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

The Senior Data Engineer will design and implement data ingestion processes, develop scalable data pipelines, and collaborate with teams to integrate data sources.

The Data Engineer designs, builds, and manages data pipelines and infrastructure, ensuring data reliability and accessibility for analysis and business intelligence.

The Data Engineer will work on ETL pipelines, data modeling, and support HR project migrations, utilizing technologies like SQL and GCP BQ.

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

The Senior Data Engineer will design and implement ELT processes, develop scalable data pipelines, and collaborate with cross-functional teams to integrate various data sources into the data ecosystem.

As a Data Consultant, you will develop scalable data solutions using Databricks and big data platforms, manage data pipelines, and ensure data security. Healthcare experience is a plus.

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 Senior Data Engineer will develop AI applications using LLMs, manage data pipelines, and collaborate with data scientists to enhance productivity and insights.

The Data Engineer II develops and implements workflows for data transformation, supports reporting projects, collaborates with stakeholders, and analyzes data quality issues.

As a Data Engineer, you will implement complex features, build analytics models, mentor junior engineers, and collaborate on innovative data-driven applications.

As a Data Engineer, you will implement complex features, maintain analytics models, mentor junior engineers, and improve development processes while collaborating with multiple teams.

The Data Engineer leads marketplace expansion strategies, manages projects, enhances operational efficiencies, and integrates data across various e-commerce platforms.

The Associate Data Engineer will design and optimize ETL pipelines, ensure data quality, and explore machine learning integrations while collaborating with data scientists and stakeholders.

Seeking a Snowflake Developer with 3-5 years of experience focusing on data modelling, SQL, ETL pipelines, and CI/CD for scalable cloud solutions.

The Data Engineer will design, build, and maintain scalable data pipelines using Databricks, integrating data into systems and ensuring data quality and performance while collaborating with stakeholders.

The Big Data Engineer is responsible for designing, developing, and maintaining data pipelines and API integrations, collaborating with teams to enhance data models and ensure effective data management and accessibility.

The Data Engineer will design and develop data integration pipelines, optimize PostgreSQL, and build ETL workflows in a SaaS environment.

As a Data Developer, you'll design and build processes for a billing system, collaborate with various teams, and require SQL expertise and database optimization knowledge.