Top Data Engineer Jobs in Mumbai

Lead the design and implementation of scalable data engineering solutions on Azure, optimizing performance and mentoring teams. Ensure data quality and security while delivering analytics-ready datasets through collaboration.

The Senior Data Engineer will design and develop ETL pipelines and data products for financial systems, ensuring data quality and collaboration with finance stakeholders.

The Senior Power BI Engineer will design BI solutions, lead migrations from Tableau to Power BI, optimize data modeling and collaborate with teams to create impactful dashboards.

Design and maintain SQL-based solutions, optimize ETL workflows using SSIS, and translate business requirements into SQL queries.

The role involves building a centralized data lake on GCP, developing SPARK-powered data pipelines, ensuring data quality, and collaborating with cross-functional teams for advanced analytics and data models.

The position involves designing and managing data pipelines, optimizing Oracle EPM systems, providing support, and collaborating with stakeholders to meet data requirements.

The Data Engineer will design and maintain data pipelines, support APIs, ensure data quality, and collaborate with teams on data-driven solutions.

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

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.

As a Sr. Big Data Engineer, you will tackle customer big data challenges using Databricks, guide strategic projects, and support client system integrations.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

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

The Data Solutions Engineer II drives customer data integration implementations, manages database schemas, configures ETL tools, and collaborates with cross-functional teams for project success.

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

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.

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.

The Senior Staff Engineer will design and implement data warehousing and ETL solutions, oversee data quality, and ensure technical requirements align with business needs.

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

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.

As a Senior Data Engineer, you will architect security data ecosystems by designing data lakehouse architectures, implementing real-time streaming pipelines, and enabling AI/ML features. You will manage data ingestion patterns and ensure system integrity through automation and observability.

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 leading data science efforts including model development, design solutions, mentoring team members, and effective communication with clients, while ensuring quality and compliance with standards.

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.

The Senior Staff Engineer, Data-science will lead machine learning initiatives, mentor team members, and ensure best practices in technical design and architecture.