Top Data Engineer Jobs in Pune

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

The Azure Data Engineer will provide technical expertise and direction, support project management, design data solutions, ensure quality standards, and maintain compliance with security regulations in a cloud environment.

Design and develop complex, large-scale data pipelines and end-to-end solutions across enterprise Big Data environments. Ensure data reliability, performance, and adherence to engineering best practices while collaborating in Agile teams.

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

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.

Design and maintain data pipelines on GCP, optimize SQL queries, build AI systems, and operationalize applications while supporting integrations and troubleshooting.

The GCP Data Engineer will design, develop, and maintain data pipelines on GCP, utilize Python and SQL, and support advanced data analytics. Responsibilities include API integration, developing AI pipelines, and managing data workloads effectively.

The Data Engineer will lead the creation and maintenance of the company's data infrastructure, build reporting capabilities, and develop data-driven automation pipelines.

Design, build, and maintain data infrastructure and pipelines to support machine learning workflows. Implement and optimize data storage and databases, integrate ML models into pipelines, ensure data quality and metadata management, document data assets, troubleshoot performance issues, and support research team data needs while proposing improvements and staying current with data engineering best practices.

The Data Engineer will support data governance practices by onboarding datasets, maintaining metadata, monitoring data quality, and assisting in engineering tasks like writing SQL queries and using data tools.

Assist in designing and implementing scalable data processes, develop data pipelines, support ETL from multiple sources, and enable data-driven business solutions.

Seeking experienced Data Engineers with 5-7 years of experience in Databricks, PySpark, and Data Fabric concepts to aid in data transformation initiatives.

Design, build, and maintain scalable data pipelines, ETL processes, and data warehouses/lakes. Ensure data quality and performance, integrate diverse data sources, optimize queries, manage data infrastructure, and collaborate with data scientists and analysts to support analytics and reporting.

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

The Data Engineer will design, build, and maintain ETL/ELT pipelines, ensuring data quality, security, and compliance while collaborating across multiple teams.

Design and build data infrastructure and architecture, optimize data processes, implement ELT applications, and develop high-quality data pipelines for clients.

The Senior Software Engineer will develop a next-generation data platform, improving the Analytics platform, while using distributed architecture and writing testable .NET code.

The Data Engineer will design, build, and maintain data pipelines for Data Warehouses, utilizing AWS, GCP, and SQL, while ensuring data quality and implementing CI/CD best practices.

The Senior Data Infrastructure Engineer drives complex data solutions, ensuring scalable and efficient data platforms using modern architectures and SRE principles, while mentoring team members.

Design and implement scalable data pipelines using tools like PySpark and BigQuery, ensuring data quality and collaborating across teams. Responsibilities include maintaining DevOps pipelines and optimizing data warehousing solutions.

The Clinical Data Engineer serves as an expert in USDM, driving digital protocol generation and enabling seamless data flow across the clinical development lifecycle, while collaborating across functions to optimize processes and ensure compliance with industry standards.

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

As a Staff Data Engineer, lead the design and scaling of data models, optimize ETL/ELT pipelines, and mentor engineers while ensuring data quality and governance.

As a Lead Data Engineer, you will design, develop, and deliver scalable data solutions using Azure tools, ensure reliability, and collaborate with various stakeholders.