Top Data Engineer Jobs in Mumbai

This role involves leading the design, build, and operation of enterprise data platforms using AI/ML, ensuring scalability and compliance while providing technical leadership and collaborating across teams.

No role-specific responsibilities provided in the posting. Typically, a Unit Manager - Data Governance leads the data governance function: defining and enforcing data policies, managing data quality and metadata, coordinating stakeholders, ensuring regulatory compliance, and supervising a team to implement governance processes.

The SDET will develop and maintain automated testing frameworks, perform white-box testing, ensure test automation in CI/CD pipelines, collaborate on QA practices, and advocate for quality across teams.

The role involves driving business analytics through data models, providing expertise in data visualization and the Semantic Layer, and training stakeholders.

The Data Technology Engineer will support the analytics agenda, develop scalable data onboarding solutions, and ensure robust data transformation and orchestration frameworks.

The Data Ops Engineer will lead the design and operation of data platforms, ensuring data reliability, quality, and observability for AI analytics and engineering solutions. Responsibilities include CI/CD automation, data governance, and coaching engineering teams.

Design and develop scalable web and enterprise solutions, improve data flows and database design, enforce agile practices, and introduce innovative frameworks while also developing and leading junior peers.

Design, develop, and maintain data pipelines and platforms using Microsoft Fabric and Azure, ensuring data quality and supporting analytics.

Design and build scalable cloud data solutions, develop and maintain ETL/data pipelines, ensure data quality and validation, optimize storage and retrieval, and collaborate with data teams and stakeholders to implement best practices.

As a Data Engineer Intern, you will write efficient code, learn new technologies, collaborate with teams, and deliver data products to improve decision-making.

Looking for a Data Engineer lead to design and build scalable solutions, develop data pipelines, and support analytics and ML initiatives, while collaborating with cross-functional teams for quality data management.

The Senior Full Stack Data Engineer will design and develop scalable data platforms, manage cloud infrastructure, and ensure data quality through pipelines and orchestration tools.

The Lead Data Engineer manages and develops ETL processes, data architecture, and pipelines while leveraging AI technologies. Responsibilities include mentoring teams, collaborating on data strategy, ensuring data quality, and managing stakeholder relationships.

The role involves managing Adobe platforms, implementing data collection strategies, ensuring compliance with privacy regulations, and collaborating within Agile methodologies to enhance customer experiences.

The Data Flow Engineer manages data connections, validates files, automates reporting, and improves auto-reconciliation processes using various technologies and best practices.

As a Data Engineer, you will work on data systems, participate in cloud migration, analyze data for product performance, and maintain data infrastructure.

The Data Engineer will develop data pipelines and workflows, manage storage solutions, and ensure data quality for the AI platform at TaskUs.

The Data Engineer will design, build, and maintain ETL/ELT pipelines, ensuring data quality, security, and compliance while collaborating across multiple teams.

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

The Data Engineer role involves data analysis using T-SQL, ETL development in Python, building data pipelines, and working with Azure data products.

The Senior Analyst - Data Engineer will develop and maintain data pipelines, ensuring data integrity in a Databricks environment, focusing on scalable solutions and collaboration with stakeholders.

The Senior Analyst - Data Engineer will develop and maintain data pipelines, ensure data quality, and support data-driven insights using Databricks and cloud technologies.

The AWS Data Engineer designs and maintains scalable ETL/ELT data pipelines using AWS services, performs data analysis with SQL and Python, and develops automated reports and dashboards.

Design and build data infrastructure and architecture, optimize data processes, implement ELT applications, and develop high-quality data pipelines for clients.

The Data Engineer will design, build, and maintain data pipelines for Data Warehouses, utilizing AWS, GCP, and SQL, while ensuring data quality and implementing CI/CD best practices.