Top Data Engineer Jobs in Pune

The Data Engineer III is responsible for designing, implementing, and supporting data solutions and pipelines that transform data from various sources into valuable insights. The role requires creating scalable data models for reporting, supporting large data platforms, and collaborating within Agile teams to enhance development processes.

The Associate Data Engineer will be involved in the full software product lifecycle, providing support to feature squads, improving monitoring solutions, and exploring new technologies to enhance site reliability. The role requires hands-on development of scalable data engineering pipelines using Java or Python and knowledge of databases and cloud environments.

The Data Engineer will build ETL processes and reporting applications using Power BI, write complex SQL queries, and extract data from relational databases such as Snowflake and SQL Server. They will perform project delivery under managerial direction, ensure performance tuning, troubleshoot production defects, and support unit testing for enhancements or upgrades.

The Data Engineer III will design and develop data-driven frameworks and applications, focusing on cloud migration and data solutions. Responsibilities include full software lifecycle participation, product feature analysis, and maintaining technology understanding to help innovate data applications.

As a Data Engineer, you will analyze business requirements, develop and implement data solutions, and maintain ETL processes while ensuring data quality. Collaboration and debugging skills are essential to address any issues in the data processes to support data-driven decision making.

The Technical Specialist - Data Engineer role involves designing, developing, and delivering engineering solutions. Responsibilities include developing source code, debugging, conducting unit testing, supporting L3 teams, ensuring quality assurance, managing software deployment, and participating in the software development lifecycle.

The Technical Specialist - Data Engineer is responsible for designing, developing, and deploying software solutions, managing code quality, debugging, and supporting technical infrastructure components. The role includes collaboration with teams to ensure maintainability, scalability, and integration of software applications, while contributing to continuous improvement and technical documentation.

The Data Engineer II role at Cencora focuses on providing accurate data support for Legal and Compliance departments. Responsibilities include data extraction and analysis, data quality validation, and developing analytics models to address business challenges. The position requires data monitoring, collaborating with teams, and ensuring data integrity for effective decision-making.

The Data Engineer will work collaboratively across teams to implement data security solutions, manage data models and databases, conduct risk assessments, and ensure compliance with privacy laws. Responsibilities include developing data-centric strategies, training stakeholders, and improving security observability services.

As a Data Engineer III at Sam's Club Tech, you will design and implement low-latency REST APIs using Java or Scala, manage backend services for advertising, and work on scalable data pipelines. Responsibilities also include developing APIs for on-demand reporting, troubleshooting production issues, and utilizing modern architectures like microservices and serverless frameworks.

The Senior Data Engineer will lead small teams to develop scalable data solutions, ensuring project requirements are met through technical direction, collaboration, and adherence to best practices. Responsibilities include overseeing complex projects, conducting testing, implementing architectures, and driving efficiency.

As a Data Engineer III, you will design, develop, and implement data pipelines and integration solutions using Spark, Scala, and Google Cloud Platform. You'll collaborate with teams to ensure data quality, optimize data workflows, and monitor data pipelines for reliability while helping analysts and data scientists access necessary data sets.

As a Data Engineer, you will design and implement scalable data solutions on AWS, develop data pipelines, build models and warehouses, collaborate with data scientists, optimize data processing, and ensure data security and compliance.

Responsible for designing and developing big data solutions, moving legacy workloads to cloud platform, building data pipelines, ensuring automation through CI/CD, and optimizing performance of big data applications. Also involved in evaluating IT developments and recommending system enhancements.

As an Azure Data Engineer Analyst, you will design and implement Azure native data solutions, develop and optimize data pipelines, create robust data models, and mentor junior team members. You'll also work on implementing data processing using various Azure services, design job orchestration, and develop reusable components.

Leverage advanced statistical and computational methodologies to deliver insights and strategic opportunities for improving healthcare quality, patient experience, and cost. Integrate, analyze, and interpret business level data from multiple sources. Develop scalable processes for large-scale data analyses and model development. Manipulate and refine large datasets, monitor complex systems, and provide support on data-related solutions to business partners and clients.

The Sr Cloud Data Engineer will lead data integration efforts, create and maintain data management standards, develop data pipelines using AWS services, manage complex data models, and present data insights to both technical and non-technical stakeholders. They will ensure data quality and facilitate collaboration among various departments.