Top Data Engineer Jobs in Mumbai

The Data Engineer will develop and enhance Python web applications and APIs for latency data accessibility, optimize Large Language Models (LLMs) for data processing, and improve data accessibility for various teams within QRT, leveraging their expertise in data systems and AI/ML.

As a Data Engineer at CommBank, you'll focus on improving team performance through advanced tools. Key tasks include leading projects, technical documentation, and managing teams with strong expertise in ETL processes, particularly Ab Initio and Python programming.

As an Associate Data Engineer, you will work with various data engineering technologies to build and optimize data solutions, collaborate with architects, and enhance data quality and efficiency.

As a Senior Data Engineer, you will design and build scalable cloud-based data solutions, manage data pipelines, and ensure data quality and efficiency. Collaborating with various stakeholders, you will deploy analytics techniques to extract insights that drive business performance.

The Senior Manager oversees the development of AI solutions and reusable components, ensuring best practices in software engineering and API integration while training junior developers and contributing to organizational initiatives.

The Manager, AI and Data Science Frontend Engineer will design and develop UI/UX for frontend applications, integrate APIs, and mentor junior developers to optimize web application performance.

As a Senior Associate, you will implement AI solutions at scale, develop data workflows, build web applications, automate CI/CD processes, and integrate AI models into production solutions.

As a Data Engineer, you will design, develop, and maintain data solutions, create data pipelines, and implement ETL processes to support data management.

SailPoint seeks a Senior Data Engineer to design and implement robust data ingestion and processing systems. Responsibilities include developing scalable data pipelines, integrating diverse data sources, leveraging AWS services, and using tools like Apache Airflow for orchestration. Candidates should have extensive experience in data engineering and relevant technologies.

The Senior Analyst - Data Engineer collaborates with data scientists and stakeholders to develop and maintain data pipelines, ensuring data quality and integrity within the organization’s data lake. This role focuses on enhancing data infrastructure using cloud technologies and optimizing data storage for efficient decision-making. Responsibilities include developing ETL/ELT processes, monitoring data operations, and implementing effective data governance strategies.

The Senior Analyst - Data Engineer will collaborate with data scientists and business stakeholders to design, develop, and maintain data pipelines for the organization's data lake, ensuring data integrity and quality. They will optimize data storage, build ETL/ELT processes, and utilize Databricks and associated technologies to enhance data accessibility and operations.

The Data Engineer will architect, develop, deploy, and maintain data pipelines for BlackRock's Aladdin platform, working collaboratively in agile teams to improve performance and scalability. Responsibilities include designing large scale data storage systems and providing production support, all while adhering to UX standards and producing necessary documentation.

The Data Engineer at PineBridge Investments will design and implement data pipelines, backfill processes, and testing strategies for the Snowflake data warehouse. The role includes providing documentation and training for users while improving data management processes.

As a Power BI Data Engineer, you will design and implement data models and pipelines, focusing on ETL processes and data quality. You will work closely with the Development and Engineering team to ensure optimized and reliable data flows for analysis and reporting.

The Data Integration Engineer at Skillsoft will manage ETL processes, ensure data integrity, and support database administration. Key responsibilities include optimizing data workflows, transitioning to event-driven architectures, and implementing innovative data integration solutions while collaborating with cross-functional teams.

The Senior Data Engineer will design technical architecture, implement data pipelines, and optimize data models for analytics. Responsibilities include working with data analysts on machine learning inputs, establishing best practices, and mentoring junior members while contributing to the data platform’s mission of enabling company-wide analytics and experimentation.

The Data Engineer will design, build, and maintain data pipelines in Snowflake, perform data transformations using DBT, and ensure data quality. This role involves collaboration with analysts and engineers to optimize workflows and implement best practices for data management.