Top Data Engineer Jobs in Mumbai

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 at QRT, you will utilize Python web frameworks to improve data accessibility, analyze and generate insights using the OpenAI API, optimize Large Language Models, and manage latency data for various teams, ensuring high code quality and best practices.

The Principal Data Engineer will design, develop, test, and support complex software solutions for data-driven applications within Nielsen. Responsibilities include working on AWS cloud infrastructure, participating in technical planning and deployment, leading development best practices, and mentoring offshore team members. Key technologies include SQL, Spark, and Docker, among others.

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.

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.

The Lead Data Engineer is responsible for designing and maintaining data infrastructure and systems. They will build data pipelines for integration and transformation, ensure timely data releases, and collaborate with teams in an Agile environment.

The Senior Staff Data Engineer will lead the development of a robust data infrastructure, focusing on ingestion, ETL/ELT processes, data quality checks, and ensuring compliance with regulatory standards. This role involves mentoring data engineers, collaborating with data scientists, and creating optimized data pipelines to enhance analytics and decision-making capabilities.

As a Data Engineer, you will build and optimize data pipelines and architectures to support analytics and reporting needs. This role focuses on ensuring high data quality and seamless integration across digital marketing sources while collaborating with teams to improve decision-making through reliable data.

The Senior Data Engineer will develop robust data solutions for the BrightInsight platform, focusing on both batch and real-time data pipelines, utilizing Python and SQL, and ensuring data security and compliance. They will collaborate with engineering teams to optimize performance and support advanced analytics.

Design and implement data solutions using various technical stacks and programming languages. Provide thought leadership and recommend technologies and solutions. Develop custom data pipelines and optimize SQL queries. Must have at least 4 years of experience as a Software Engineer, Data Engineer, or Data Analyst.

As a Senior Data Engineer at 5X, you will design and implement data solutions that address client business needs. Responsibilities include developing data pipelines, optimizing data models for analytics, collaborating with teams for seamless data integration, mentoring junior engineers, and keeping current with data engineering best practices. Proficiency in SQL and Python, alongside experience with Snowflake, BigQuery, and modern data stack tools, is essential.

The Senior Data Engineer will be responsible for engineering data models, performing ETL operations, and debugging data operations jobs. They will work with data architects and improve organizational standards, while clearly communicating design choices to stakeholders.

As a Senior Data Engineer at Oportun, you will design, develop, and maintain software and data platforms while solving business problems with technical solutions. You will mentor junior engineers, make architectural decisions, and collaborate with cross-functional teams to deliver scalable software that enhances Oportun's market impact.

The Lead Data Engineer will support the growth and innovation within the Blenheim Chalcot portfolio by contributing to the development of GenAI enabled tech businesses, engaging in various technical and project-related responsibilities amidst a fast-paced environment.

As a Senior Data Engineer, you will be responsible for leading the design, implementation, and optimization of data pipelines on a financial intelligence platform, ensuring reliability and efficiency while collaborating with cross-functional teams for continuous improvement.

Develop large-scale data pipelines and identity data products, perform architectural reviews, and provide mentorship to team members while focusing on performance and design of data systems using various technologies.