Top Data Engineer Jobs in Chennai

The Data Engineer will design, develop, and maintain scalable data pipelines and ETL processes, implement data solutions using Snowflake, write efficient Python code, and collaborate with data teams to ensure data quality and reliability.

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 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.

Responsible for designing and overseeing technology architecture and solutions to manage structured and unstructured data. Develops data structures and pipelines, ensuring data quality and creating standard frameworks for data ingestion and access. Collaborates with data modelers to support business analysis and implements solutions across on-prem and Cloud platforms, determining appropriate storage based on data requirements.

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 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 Data Engineer III will design, build, test, and deploy data solutions while collaborating with teams to drive business insights. Responsibilities include leveraging big data technologies, cloud platforms, and implementing processes for strategic initiatives, along with ensuring compliance with data standards and enhancing technical solutions.

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.

Seeking a Senior Data Engineer with 6-10 years of experience to design, build, and maintain scalable data pipelines and databases. Responsibilities include data pipeline development, database management, data integration, data quality monitoring, performance tuning, collaboration, and continuous learning. Requires proficiency in SQL, Python, PySpark, and experience with Azure DevOps.

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 Senior Data Engineer will develop scalable ETL and integration systems, work on data migration projects, evaluate data ecosystems, configure CI/CD pipelines, and collaborate with project managers and architects to meet data requirements. They will also implement architecture and assist in infrastructure setup.

As a Principal Data Engineer at Gen, you will develop large-scale data processing systems, maintain data pipelines on GCP and Azure, and present insights to stakeholders. You’ll need strong Python and SQL skills, along with experience driving optimization and architecture projects. Your role includes ensuring data integrity, authoring meaningful documentation, and applying best practices in data governance and machine learning interest.