Top Data Engineer Jobs in Mumbai
The Senior Data Engineer will design and maintain scalable data engineering platforms, build algorithms for massive data processing, integrate new technologies, and improve data pipeline efficiency. They will collaborate with teams to ensure project goals are met and manage data ingestion platforms while creating custom analytics applications.
The Senior Data Engineer will design and implement data models, ETL workflows, and data integration processes while supporting data governance and maintenance. This role involves working with business stakeholders to create BI solutions and ensure data quality across various systems. Responsibilities include resolving issues, providing production support, and training users.
This role involves designing and developing a cloud platform, focusing on the full code stack including front-end, back-end, and database integration. The engineer will work on data and analytics applications, enhancing data ecosystems and writing tests, while collaborating with a distributed team using modern architectures and frameworks.
As a Senior Data Engineer, you will contribute to projects that reshape data analytics, designing data schemas, optimizing SQL queries, and maintaining robust data infrastructure for processing large datasets. You will also mentor team members and ensure data quality through effective monitoring and automation of processes.
The Staff Data Engineer will design, develop, and maintain data platforms, solve complex business problems with technical solutions, contribute to architectural decisions, mentor junior engineers, and collaborate with cross-functional teams to create scalable software solutions.
As a Senior Data Engineer at Aryng, you will develop scalable data engineering solutions on cloud platforms (GCP, AWS, Azure). Responsibilities include implementing data ingestion and processing pipelines, managing data engineering solutions, and collaborating with data scientists and business analysts to deliver effective client solutions. You should possess strong problem-solving skills and have a background in consulting.
As a Lead Data Engineer at Cencora, you'll manage Microsoft Azure environments, design and develop scalable solutions, oversee cloud-based infrastructure, and lead a team of engineers. Your expertise will be critical in migrating services to the cloud, implementing IaC, and ensuring security and efficiency. Collaboration with IT teams to enhance operations is also key in this innovative role.
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
As a Senior Data Engineer at Oportun, you will design, develop, and maintain sophisticated software and data platforms. You will contribute to architectural decisions, mentor junior engineers, and collaborate with cross-functional teams to deliver high-quality solutions.
The Staff Data Engineer will design and develop data-driven applications and frameworks, facilitate cloud migrations, and mentor junior team members. Responsibilities include participating in the full software lifecycle, collaborating with product management, and architecting enterprise-level data solutions for scalability and performance.
As a Sr. Data Engineer, you will create production dashboards, aggregate clean data for analytics, utilize Python for data manipulation, and collaborate with business units to support data-driven decision-making.
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.
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.
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.
As a Senior Big Data Engineer at Nielsen, you will develop and enhance video, audio, automotive, and sports metadata software solutions, leveraging various open-source technologies. The role involves designing scalable software, working within efficient teams, and collaborating with product and client teams to drive software development.
Top Mumbai Companies Hiring Data Engineers
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