Top Data Engineer Jobs in Pune

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

As a Data Engineer, you will build and scale the data platform, manage data pipelines, and ensure reliable data access across the organization.

The role involves managing project lifecycles, translating business requirements into tech solutions, and leading diverse teams while providing mentorship. Key technologies include big data platforms and programming languages. Strong communication and project management skills are essential.

The Business Technology Solutions Associate will design and implement technology solutions, collaborating with teams to address business problems using methodologies like agile and waterfall.

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.

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

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

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 the data engineering team, managing Snowflake infrastructure, optimizing Tableau reporting, developing data strategies, and ensuring data integrity and compliance.

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 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 - AVP, you will build and maintain data architectures, design data warehouses, collaborate on machine learning models, and influence strategic decision-making within the team.

As a Data Engineer, you will develop scalable data management solutions, architect data pipelines, and collaborate with teams to leverage data for decision-making insights.

The Data Engineer will design and maintain data pipelines, ensure data quality, support analytics, and mentor junior engineers. Requires cloud technology experience.

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

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 Data Engineer, you will manage project progress, analyze data queries, perform data quality checks, and maintain documentation, while supporting data models and pipelines.

As a Data Engineer, you will develop and maintain data pipelines and ETL processes, manage data integrations, and optimize data storage to support analytics and reporting for the rental housing industry.

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

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