Top Data Engineer Jobs in Pune

The Data Engineer will build and maintain data systems, pipelines, and warehouses, collaborating with data scientists and ensuring operational effectiveness.

The Looker Data Engineer will develop Looker data models, optimize reporting solutions, use Looker APIs, and work with SQL and cloud platforms.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

The Engineering Manager leads the Data Engineering team, overseeing the design of scalable data pipelines using AWS technologies, mentoring engineers, and collaborating with stakeholders on data-first initiatives.

The Data Engineer - DevOps will build and maintain data systems, manage data pipelines, collaborate with data scientists, and ensure data accuracy and security.

As a Lead Data Engineer, you'll build and maintain data systems, ensure data accuracy, collaborate with data scientists, and advise on policy and operational effectiveness, all while leading a team in complex data architecture projects.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

As an Application Engineer - Data Centre Specialist, you will engineer and deliver power and temperature control solutions, conduct site surveys, perform load calculations, create project documentation, generate technical proposals, and support commissioning and improvement processes.

The technical lead will design and build AWS data platforms, guiding engineers, ensuring delivery excellence while collaborating with product owners and stakeholders.

The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.

The role involves building and deploying ML solutions, data analysis, model development, and collaborating with stakeholders, focusing on business impact.

Lead Data Engineer to design, build, and operate production data pipelines, retrieval/vector infrastructure, semantic/feature stores, and ML/LLMOps foundations. Drive CI/CD, governance, monitoring, and agent/data APIs for RAG, LLM, and predictive model workloads.

The Data Engineer will design, build, and maintain ETL pipelines and data products, utilizing big data technologies and ensuring efficient data architecture. Responsibilities include troubleshooting complex issues, developing scalable solutions, and managing databases and data security compliance.

The Snowflake Senior Data Engineer will lead projects in data engineering, utilizing Snowflake and various AWS services to optimize data workflows and storage, while also guiding the team and collaborating with stakeholders.

As a Lead Engineer, you'll design and develop frameworks and services for HighLevel's platform, optimizing large-scale database clusters and ensuring performance and security across multiple environments.

Design and develop large-scale database systems, optimize performance, and implement automation for managed database services. Collaborate across teams to enhance data access and ensure governance for security and compliance.

The Software Engineer II will develop and enhance data platform systems, design reliable data flows, and drive observability for data pipelines while collaborating with team members and following governance standards.

As a Senior Data Engineer, you will architect the AI-native Data Platform, optimize performance, ensure data governance, and mentor engineers on best practices.

The Data Engineer role involves designing and maintaining ETL pipelines, optimizing data storage solutions, collaborating with teams, and ensuring data accuracy and integrity.

The Azure Data Engineer will design and maintain data pipelines, optimize data workflows, and ensure system performance, leveraging Azure technologies.

The Developer - Data Analytics role involves designing and developing software solutions, collaborating on requirements, ensuring code quality, and managing team performance. The candidate will utilize tools and technologies to drive business and platform capabilities, while adhering to secure coding practices and fostering a culture of technical excellence.

Design and develop software solutions for data analytics. Collaborate with teams, ensure code quality, and influence decision-making processes.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.

The Software Engineer III will develop SaaS solutions for government agencies, lead features, mentor junior engineers, and improve processes in a fast-paced environment.

The Senior Data Scientist & Engineer will build and manage data infrastructure, analyze product usage, build models, track metrics, run experiments, and communicate insights to guide product decisions.