Top Data Engineer Jobs in Pune

The Senior Data Engineer will build and optimize data pipelines in Azure Databricks, migrate existing pipelines from Azure Synapse, and design scalable data models to support a financial services client's data platform modernization.

Design, build, and optimize scalable data pipelines and analytics solutions using Microsoft Fabric, PySpark, Python, and SQL. Collaborate with stakeholders, manage data governance, and ensure data quality in a Lakehouse architecture.

The Senior Data Engineer will design and build scalable data systems and analytics infrastructure, ensure data quality, and lead technical direction. Responsibilities include developing AI capabilities for the analytics platform and collaborating with teams to translate complex data into actionable insights.

Responsible for guiding teams in utilizing technology effectively, mentoring colleagues and devising advanced solutions to meet client challenges.

As a Senior Engineer in Data Analytics, you'll work on challenging problems using cutting-edge technology alongside talented colleagues to drive innovative solutions.

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.

The Senior Data Engineer will design and maintain data engineering solutions, collaborate with stakeholders, troubleshoot data issues, and provide technical leadership across projects involving Azure and Microsoft Fabric.

Design, develop, and maintain large scale data engineering solutions, focusing on Data Management, Data Engineering, and Data Governance, using technologies like Databricks and Pyspark.

The Senior Data Engineer will design and implement data engineering solutions on Google Cloud Platform, leading projects and mentoring junior staff.

The Senior Data Engineer will develop and implement end-to-end technical solutions, ensuring performance and data integration across various cloud data platforms while collaborating with clients and creating documentation.

The Senior Data Engineer builds and maintains data systems, ensuring data integrity and security. Responsibilities include designing data pipelines, collaborating with data scientists, and managing data architectures. The role emphasizes leadership and strategic contributions to the organization.

The Lead Data Engineer designs and maintains data systems and architectures, facilitates data processing and analysis, and leads engineering teams while ensuring data quality and governance.

As a Senior Data Engineer, you will develop and support automated data streams, ensuring data quality, optimizing data processing workflows, and collaborating with teams to meet data needs.

As a Principal Engineer for Data Infrastructure, you'll oversee our databases and data warehousing, optimize performance, and lead technology integrations to enhance data processing capabilities.

The Senior Data Engineer builds and maintains systems for data collection, storage, processing, and analysis, ensuring accuracy and security.

As Lead Data Engineer - VP, manage data systems and pipelines, contribute to strategy and team management, and innovate customer experiences.

As a Principal Data Engineer, you will lead and design scalable data solutions, mentor engineers, and ensure data quality across the organization.

Lead architecture, implementation, and maintenance of a GCP-based data platform. Build IaC (Terraform), CI/CD (GitHub Actions), ETL/ELT pipelines, monitoring, security controls, and mentor engineers while collaborating with cross-functional teams.

Seeking a Senior Data Engineer to build and maintain scalable data pipelines and infrastructure, focusing on performance and reliability in a lakehouse environment while mentoring junior engineers.

The Senior Data Analytics Engineer at MariaDB designs and builds data pipelines, writes SQL queries, develops internal tools, and translates data into actionable insights. They will collaborate closely with stakeholders and leverage AI tools to enhance analytics workflows.

Seeking a Senior API Developer to design, build, and support scalable APIs. Responsibilities include collaborating with teams, drafting technical requirements, and creating documentation.

Design and deploy scalable database solutions, migrate services to Kubernetes, and manage high-availability infrastructure for Telnyx's cloud platform.

The Principal Engineer, Data Science role involves leading projects in predictive modeling, optimization, and data solutions deployment. Responsibilities include translating client use cases into technical designs, guiding project architecture, and collaborating with cross-functional teams.

The role involves building a centralized data lake on GCP, developing SPARK-powered data pipelines, ensuring data quality, and collaborating with cross-functional teams for advanced analytics and data models.