Top Data Engineer Jobs in Mumbai

The Azure Data Engineer will design and maintain data pipelines, optimize data workflows, and ensure system performance, leveraging Azure technologies.

The Data Engineer role involves designing and maintaining ETL pipelines, optimizing data storage solutions, collaborating with teams, and ensuring data accuracy and integrity.

As a Senior Data Engineer, you'll manage cloud-scale data pipelines, optimize financial data storage and retrieval, and mentor junior engineers while ensuring accurate, auditable transactions. You'll also participate in cloud migration and troubleshoot data infrastructure issues.

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.

As a Senior Data Engineer, you'll analyze data integrity, create scalable solutions, mentor peers, and engage in agile development, focusing on backend services using Python and Snowflake.

Seeking a Senior Data Engineer with expertise in cloud data platforms to develop and integrate end-to-end technical solutions, ensure performance and scalability, and document solutions thoroughly.

The Data Migration Engineer executes technical builds and validations of data migration pipelines, ensuring accurate SQL processes and data integrity for client data migrations.

Lead the modeling of the Customer Data Platform, defining event taxonomy and ensuring reliable datasets for analytics, product insights, and machine learning. Collaborate with various teams to maintain data consistency and shape the architecture of the behavioral data platform.

The Senior Data Engineer will design and maintain pipelines for event data ingestion and validation, ensuring operational reliability and consistency for analytics.

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.

As a Managed Services Engineer (L2), you will maintain client IT infrastructure, resolve incidents, manage tickets, and support automation efforts while ensuring client satisfaction.

The Senior Tableau Consultant focuses on data visualization development, project management, mentoring, and supporting business requirements using Tableau. Responsibilities include dashboard architecture, user configuration, and training.

The Software Engineer III will develop SaaS solutions for government agencies, lead features, mentor junior engineers, and improve processes in a fast-paced environment.

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.

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.

The Senior Data Engineer will design, build, and maintain scalable data processing systems, optimizing data pipelines, and collaborating on data architecture.

Design and optimize prompts for AI systems, evaluate model performance, collaborate with teams on machine learning strategies, and document best practices.

As a Senior Developer, you will design and support application and data integration processes using Oracle and Dell Boomi, lead implementation projects, and collaborate on data migration requirements.

The role involves designing and building enterprise-scale data platform services, managing multi-tenant architectures, mentoring engineers, and driving technical initiatives in a remote environment.

As a QA Automation Engineer, you'll design and maintain automated test frameworks for data workflows, validate data quality, and ensure reliability across ETL/ELT pipelines while collaborating with data teams.

Design, implement, and maintain data pipelines, ensure data quality, collaborate with stakeholders, and support PowerBI reporting development.

The Senior Data Engineer is responsible for designing, building, and maintaining the data infrastructure and architecture. They ensure data accuracy and facilitate data accessibility for analytics and business intelligence purposes.

Responsible for data collection to support model training, operating cloud infrastructure, collaborating with scientists, and enhancing data ingestion pipelines.