Top Data Engineer Jobs in Pune

The Data Engineer I prepares project plans, builds BI solutions, conducts testing, develops queries, creates dashboards, and collaborates on analytics projects.

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

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

Seeking an experienced Data Engineer to develop, maintain, and enhance data pipelines and lake solutions for Internal Audit using Databricks and Azure.

The Data Engineer will design, develop, and maintain ETL/ELT data pipelines, leveraging PySpark and Databricks to process large datasets, ensuring data quality, reliability, and performance optimization.

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.

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.

Build and maintain data systems including pipelines, data architectures, and warehouses. Collaborate with teams to ensure data accuracy and security.

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 Azure Data Engineer will build analytics and integrate data across on-prem and cloud landscape, focusing on data visualization and ETL processes using Azure services.

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 is responsible for designing and building data pipelines for MI Dashboards, including data collection and display solutions. They will focus on testing, automation, and quality checks using various technologies and have over 8 years of experience in the field.

The Lead Data Engineer will design and implement data pipelines in Databricks, ensuring data quality and governance while collaborating with internal audit teams.

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.

The Data Engineer will design and build data pipelines, perform data analysis, and create visual reports, while collaborating cross-functionally to drive operational improvements. Responsibilities include implementing data transformation/storage solutions and overseeing data governance.

Responsible for building and maintaining data architectures, pipelines, and systems for data analysis and processing. Collaborate with data scientists on machine learning models and ensure data quality and security.

The Data Engineer will build and maintain data systems, develop ETL workflows, collaborate with data scientists, and ensure data accuracy and security.

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

Build and maintain data architectures, pipelines, and solutions on AWS, ensuring data accuracy and security, while leading teams and collaborating with stakeholders.

The Data Engineer builds and maintains data architectures, develops ETL components, and collaborates with data scientists on machine learning models, ensuring data accuracy and security.

The IT Data Engineer will work with cross-functional teams to enhance data management, develop tools for data analytics, and ensure robust data processes and integrity.

The role focuses on building and maintaining data architectures, including pipelines, warehouses, and lakes, while collaborating with data scientists and leading complex tasks to support business operations.

As a Staff Software Engineer, you will design, develop, and maintain data store components, collaborating with teams to create efficient solutions using tools like Golang and Kubernetes in a hybrid work environment.