Top Data Engineer Jobs in Mumbai

Provide 24/7 support for OpenTable's global data platforms, focusing on database operations, maintaining high availability, backups, and performance optimization.

Join DEME's Data & Analytics Office as a Data Engineer to transform data into high-quality datasets, maintain data pipelines, and support insights for decision-making.

Responsible for designing and developing integration processes and custom data solutions using various integration tools and cloud platforms while collaborating with cross-functional teams.

The role involves designing, developing, and maintaining large scale data engineering solutions while collaborating with stakeholders on data governance and analytics.

Seeking a Senior API Developer to design, build, and support scalable APIs. Responsibilities include collaborating with teams, drafting technical requirements, and creating documentation.

The Senior AI Data Engineer is responsible for designing and implementing AI solutions, managing databases, and collaborating with teams to integrate these solutions into the Teamified platform.

Design and maintain data pipelines, optimize performance, collaborate with teams, ensure data quality, and implement governance best practices.

The Data Centre Engineer will design, build, scale, and maintain data centre operations, ensuring safety and accessibility of data across Jane Street's locations.

As a Staff Data Engineer, you will architect and develop data ingestion and warehousing solutions, collaborating across teams to drive data-driven decision-making.

Design, build, and operate large-scale batch and real-time data pipelines using Spark, AWS (Glue, EMR, S3, Redshift). Implement observability, alerts, and drive technical deliverables while mentoring junior engineers.

The Principal Engineer, Data Science will lead data science projects focusing on predictive modeling, cloud solutions, and machine learning techniques while collaborating on technical designs to meet client requirements.

Seeking a Senior Data Engineer to design and optimize data pipelines. Required skills include Python, Azure Cloud, and Apache Spark. Experience in Agile methodologies is needed.

As a Senior Data & Analytics Engineer, you will design and build data infrastructure, develop data pipelines, and enable self-service analytics, collaborating with stakeholders to create scalable and reliable data solutions.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.

The Senior Data Engineer will manage MDM projects, build data pipelines, optimize performance, and ensure data quality using various tools and technologies.

The Data Solutions Engineer III leads complex customer data integration projects, utilizing SQL, ETL, and database expertise. Responsibilities include assessing customer needs, managing multiple projects, mentoring junior members, and driving process improvements.

As a Senior Data Engineer, you will manage the ETL lifecycle, build batch pipelines, transform data using SQL and Python, and ensure data quality and performance for analytics.

The Senior Data Engineer will design and implement data processing pipelines, manage ETL processes, and ensure data quality while collaborating with stakeholders to meet business needs.

The Senior Developer will design and implement custom data warehousing and BI solutions, translating business needs into technical specifications, and leading product implementations for clients.

The role involves building and scaling the Acceldata Open Data Platform, focusing on observability, coding, debugging, and collaborating with teams and the open-source community.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

The role involves overseeing data science projects, mentoring team members, and developing solutions using machine learning and data technologies, while ensuring alignment with client requirements.

This role involves leading SAP data migration projects, developing ETL processes, ensuring data quality, and collaborating with cross-functional teams to optimize data integration and management strategies in SAP environments.

Design, build, and optimize scalable ELT/ETL pipelines on Azure using ADF and Databricks, integrate data into Snowflake, implement Data Vault 2.0 modelling, ensure data quality and performance, and collaborate with stakeholders and analytics teams to maintain production workflows.

Design, build, and maintain scalable batch and real-time data pipelines on Azure using Kafka, Spark, Databricks and ADF. Optimize Snowflake models and SQL, process structured and semi-structured data, ensure data quality, performance, and collaborate with cross-functional teams.