Top Data Engineer Jobs in Mumbai, MH
Work as a Data Engineer for the Data Engineering team at CrowdStrike, designing and building services for machine learning products, building automation tools, maintaining data systems, and collaborating with different teams to contribute to machine learning data.
Responsible for designing, building, and maintaining data pipelines and infrastructure on Microsoft Azure. Extract, transform, and load data from various sources including databases, APIs, and flat files. Stay up to date with the latest advancements in Azure data technologies and best practices.
As a Senior Data Engineer at Motive, you will be responsible for building data pipelines, designing data models, and working with multiple teams to deploy robust data operations. The role requires 6+ years of experience in Data Engineering and strong skills in SQL, Python, and modern data engineering technologies.
Looking for a Senior Data Engineer to join the Data Engineering team at CrowdStrike, responsible for building pipelines, infrastructure, and automation for data scientists. Requires strong programming skills in Golang, experience with large data volumes, distributed system design, CI/CD best practices, and Docker/Kubernetes development.
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The Senior Data Engineer I at Pax8 designs, develops, tests, deploys, and maintains systems for data collection, transformation, storage, and management. They work on individual projects based on deadlines, collaborate with teams, and provide technical leadership in data system development. Responsibilities include building scalable data pipelines, mentoring junior engineers, and optimizing code quality. Ideal candidates have 4+ years of data engineering experience with expertise in Python, SQL, Apache Spark, Apache Kafka, and job orchestration tools.
As a Data Engineer at Demyst, you will be responsible for collaborating with internal project managers, sales directors, and clients to build external data-driven solutions using Python, Pandas, ETL, APIs, SQL, Git, and more. The role involves analyzing data, designing code blocks, and maintaining production solutions.
Data Engineer III responsible for designing and developing data-driven frameworks and applications on Cloud platforms, migrating on-premise data systems to the Cloud, and evaluating newer Cloud technologies. Participate in the full software lifecycle, collaborate with Product Management and Analyst Teams, and contribute to technology vision. Requires 6+ years of industry experience with a focus on data ingestion, processing, and publishing on enterprise-scale Big Data solutions.
Lead, Data Engineer responsible for designing solutions with AWS for Cloud development, participating in the development life cycle, working with data analysts, building data pipelines, and collaborating with a team of data professionals in a fast-paced environment at CPP Investments.
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Design, build, and maintain data solutions for enterprise-scale transformation projects. Collaborate with stakeholders to ensure efficient data processing and accessibility. Develop and optimize data pipelines in Azure cloud environments, monitor performance, troubleshoot issues, and stay updated on industry trends.
Seeking a Data Engineer to lead the design, implementation, operation, and optimization of a financial intelligence platform's data platform. Responsibilities include developing and operationalizing market data pipelines, ensuring platform scalability and efficiency, and collaborating with cross-functional teams to drive continuous improvements.
Orion Innovation is seeking a Data Engineer with 7 to 10 years of experience in data engineering, focusing on Microsoft technologies. The role involves expertise in Azure data services, data modeling, and strong communication skills.
As a Data Engineer at Nielsen, you will work on building a data platform on AWS, ingesting data from external sources, and performing ETL tasks. Collaborate with teams to design, implement, test, and deploy features. Preferred qualifications include a BS or MS in Computer Science, 3+ years of experience with programming languages, and familiarity with data lakes, AWS services, and developer tools.
The Business Intelligence Data Engineer will be responsible for building and maintaining unified data tech to support advanced and automated business analytics. They will design and develop database and reporting structures, maintain ETL processes, and contribute to data process evolution. The role requires expertise in Tableau, SQL, .Net, C#, Python, and AWS.
Design, implement, and maintain data warehouse environments. Collaborate with cross-functional teams to support data-related initiatives. Strong focus on performance, scalability, and data flow management.
Senior Associate Data Engineer role at Digitas, a leading global marketing and technology services brand. Responsible for leveraging comprehensive data, technology, creative, and strategy capabilities to deliver ambitious outcomes for clients. Work with advanced technology skillsets in front end, mobile, content management, commerce, marketing automation, DevOps, and cloud infrastructure. Part of a global network with over 4,000 employees across multiple countries and offices.
The Data Engineer at Komodo Health is responsible for technical aspects and collaborating with various teams to understand and articulate technical requirements. The role involves building relationships, providing technical design guidance, and making strategic decisions to address solution design needs.
Seeking an enthusiastic Entry-Level Data Engineer with a focus on AI to assist in designing, building, and maintaining data infrastructure that supports artificial intelligence and machine learning initiatives. Responsibilities include data pipeline development, data integration, AI & ML support, data monitoring, and troubleshooting. Preferred skills include practical knowledge of programming languages, SQL, AI frameworks, big data technologies, cloud platforms, data modeling, and strong analytical skills.
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Data Engineer responsible for maintaining and supporting Oracle Hyperion's EPM suite. Collaborates with functional teams to gather requirements, analyze, and provide technical solutions. Conducts unit testing, prepares technical documentation, and ensures timely task completion. Strong understanding of financial data and business processes is essential.
As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. Your role involves engineering the backbone of the data infrastructure, ensuring the availability of pristine, refined data sets, and transforming raw data into actionable insights for strategic decisions and innovation.
The Data Engineer Associate at Genworth works closely with Project Stakeholders and Technical team to develop and maintain Pre/Post processing programs and ML models. Responsibilities include building machine learning pipelines, developing python programs, utilizing GCP tools, working with cross-functional teams, and developing Enterprise API and Microservices using Python, JavaScript, Docker, Kubernetes.
The Data Engineer at Genworth will apply software development skills, math aptitude, and knowledge of finance and accounting systems. Responsibilities include migrating applications to a SaaS model, developing and maintaining scripts, managing data feeds, troubleshooting, and collaborating with various stakeholders.
The Senior Associate Data Engineer at Digitas will be responsible for leveraging comprehensive data, technology, and strategy capabilities to deliver ambitious outcomes for clients. The role involves working with advanced technology skillsets such as Python, SQL, Apache Spark, Hadoop, and ETL processes.
Seeking a skilled GCP Data Engineer with 6+ years of experience to join our team. Responsibilities include working with GCP, Big Query, and Data Flow to enhance data infrastructure and analytics capabilities.
Specialist Development - Data Engineer role at Sun Life, a leading financial services company. Responsible for working with dynamic colleagues to provide financial security and wealth products and services to clients globally. Opportunity to contribute to innovative technology and asset management.
As a Software Engineer on the Data Engineering team at H1, you will be responsible for analyzing vast amounts of data, writing production-grade pipelines using big data technologies, and managing projects to deliver high-quality healthcare data applications in an AWS cloud environment.
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