Top Data Engineer Jobs in Pune

As a Data Engineer, you'll develop scalable applications, leverage data analytics, and lead technical projects focusing on customer experience.

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

This job entails designing and implementing data pipelines using SQL and GCP, along with expertise in ETL processes and data modeling, especially related to HR project migration.

As a Web Scraping Engineer, you'll design, build, and maintain web scrapers, implementing advanced techniques and collaborating with teams to ensure efficient data processing and quality.

As a Data Engineer at Nascent, you will identify novel data sources, develop pipelines, conduct exploratory analyses, and collaborate across teams to enhance trading strategies.

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

The GCP Data Engineer will design and maintain ETL/ELT pipelines, optimize data models, manage large datasets, and ensure data quality and accessibility for decision-making at Kyndryl.

Design and maintain data infrastructure for AI/ML, build robust data pipelines, optimize performance, and collaborate with AI/ML teams.

Lead design and optimization of data pipelines and architectures, mentor engineers, collaborate with teams, and drive technical strategies in data engineering.

Lead the design and implementation of scalable data pipelines and ELT processes, collaborate with cross-functional teams, and adapt to evolving data engineering challenges.

As a Data Engineer, you will manage data infrastructure projects, optimizing data architecture and pipeline, and supporting data needs across teams.

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

The role involves building a SaaS identity analytics product, focusing on data pipelines, microservices in Java, and collaborating on features.

The role involves designing and developing data solutions using Databricks, focusing on data pipeline architecture, optimization, and reporting.

As a Junior Data Engineer, you'll design and optimize data pipelines, ensure data quality, collaborate with teams, and contribute to innovative data projects.

Develop and maintain data pipelines using Python and SQL. Use DBT for data transformation and work with data warehouses. Ensure compliance with data governance policies.

The Senior Data Engineer will design and optimize data pipelines, manage cloud architecture, and build scalable data models while collaborating with stakeholders and implementing DataOps practices.

As a Data Engineer Associate, you'll design and implement modern analytic solutions, utilizing DBT and Snowflake while managing client relationships and project delivery.

The Snowflake Data Engineer will lead projects in data engineering, specializing in Snowflake and manage complex data workflows, ensuring robust data solutions on AWS.

The Data Engineer III manages cloud data platforms, resolves pipeline issues, optimizes performance, and oversees configuration and governance while coordinating with stakeholders.

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

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.

Lead the development of personalized card linked offers at Mastercard by designing, developing, and enhancing software solutions, while mentoring junior engineers.

Build infrastructure tools for trading, optimize data delivery, implement process improvements, ensure data monitoring and reporting, and write efficient code.

The Snowflake Data Engineer will develop and manage large-scale data pipelines, collaborate with stakeholders, and optimize data engineering solutions using Snowflake.