Top Data Engineer Jobs in Mumbai

The Quantitative Research Data Engineer Vice President will work on designing, analyzing, and delivering firm-wide data to support Wholesale Credit Stress models. Responsibilities include data engineering, data analysis, collaborating with stakeholders, and working through the SDLC. Required qualifications include a Bachelor's or Master's in Computer Science, 7+ years of experience, strong skills in SQL and Python, and experience in data architecture and data engineering in financial services.

The Business Intelligence Data Engineer will build and maintain data technologies, develop reporting structures, and manage ETL processes. This role involves enhancing data processes, contributing to quality assurance, and supporting business analytics for various internal teams.

As a Senior Data Engineer at Atlassian, you will play a pivotal role in influencing product teams, inform data strategies, ensure data quality, collect and transform data, and generate insights to enhance product experience and engagement. Your work will help improve efficiency and support strategic goals across the business.

As a Data Engineer, you will design and maintain ELT pipelines using Python, Airflow, and SQL in an AWS environment, manage data lakes and warehouses, and create visualizations with PowerBI while ensuring data quality and performance optimization.

The Data Engineer will lead data engineering efforts focusing on Azure technologies, ensuring data transformation, quality, and modeling while collaborating effectively with stakeholders in an Agile environment. The role involves extensive experience in database design and data strategy, particularly in the Wealth Management sector.

As a Data Engineer, you will collaborate with project managers and clients to deliver data-driven solutions, perform data analyses, and design scalable code blocks. You will utilize Demyst's proprietary Python library along with cloud infrastructure and manage the deployment of production solutions.

As a Data Engineer at Miles, you'll work with product managers and data analysts to build data products, maintain data pipelines, perform ad-hoc analysis, and create visualizations. Your role will involve optimizing database queries and collaborating with business and data science teams to deliver impactful insights.

The Azure Data Engineer will design, implement, and maintain data processing systems using Azure technologies, develop data engineering solutions, create data pipelines and optimize storage, and collaborate with teams to ensure data quality and scalability.