Top Data Engineer Jobs in Delhi
As a Senior Data Engineer at Komodo Health, you will drive the development of data products and tools using technologies like Spark, Airflow, and Snowflake. Responsibilities include writing enterprise-level code, leading data pipelining, and enhancing operational stability of software applications.
Lead and drive the execution of multiple business plans and projects related to data engineering. Implement new architectural patterns and promote high standards of code quality and system reliability. Must have strong hands-on experience with Hadoop, Hive, Apache Spark, and expertise in cloud computing platforms such as Google Cloud Platform (GCP).
Senior Data Engineer responsible for providing high-quality data sets, building data products, developing data models, and maintaining data pipelines. Collaborates with various teams and ensures data solutions meet SLAs. Requires expertise in Big Data technologies, SQL optimization, ETL processes, AWS ecosystem, and programming languages like Python, Java, and Scala.
Participates as a senior member of data development team, completes data analysis, and develops batch, real-time, and streaming data integration codes independently. Designs, prepares, and automates test cases, applies technical knowledge to maintain data engineering, and implements complex infrastructure and software solutions using company and open-source technologies.
Design, build, and shape data pipelines and infrastructure to support a modern data lake for a clinical trial enrollment platform. Work directly with sponsors and external parties on data products. Support internal and external data products by building, scaling, and integrating data processes. Ensure compliance with regulatory frameworks and drive best practices for high-performance systems.
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Seeking a highly skilled Senior Big Data Engineer with experience in developing and scaling stream and batch processing systems using GCP technologies. Responsibilities include building reliable code, implementing automation best practices, and leveraging various tools. Remote work environment with a focus on problem-solving and communication.
Lead Data Engineer with 7+ years of experience in managing and optimizing big data pipelines, architectures, and data sets. Proficient in Azure data factory, Azure Synapse, Power Apps, Logic Apps, relational SQL databases, and visualization tools like PowerBI and Tableau. Experience working in a dynamic environment and supporting cross-functional teams. Good academic track record preferred.
Aryng is seeking a Senior Data Engineer with 5+ years of experience in developing enterprise-class distributed data engineering solutions on the cloud. Responsibilities include implementing data pipelines, working with cloud technologies, and collaborating with clients. Must have a B.S. in computer science or related field. Knowledge in Python, SQL, Big Query, and other data engineering tools is required.
Experienced Data Engineer specializing in Generative AI to establish AI infrastructure, collaborate with Data Scientists, own AI model integration, ensure data governance, and optimize performance. Will innovate in healthcare sector and deploy AI solutions to AWS cloud platform.
Seeking an experienced Lead Data Engineer to build scalable solutions in Azure Platforms for Data & Analytics. Responsibilities include managing and administering Microsoft Azure, designing multi-region solutions, conducting Proof of Concepts, migrating infrastructure to cloud, implementing security controls, and supporting cloud adoption. Required skills include Azure experience, IaaS and PaaS solutions, agile framework, IaC development with Terraform and Azure CLI, Python, C#, Windows, Linux, networking, Azure services like AKS and ADLS, GIT, ADO, Terraform Cloud, Azure DevOps, Jira, and ServiceNow.
Passionate Data Architect with 5+ years of experience leading data solutions on Azure. Expertise in Spark, SQL, Python, Scala, data modeling, and cloud engineering. Responsible for architecting and implementing modern data platforms on public cloud for analytics and AI use cases.
Drivetrain is looking for a Data Engineer to build and monitor large-scale data pipelines, develop DBT setup, collaborate with the data platform team, and craft cutting-edge data solutions.
Design, build, and maintain scalable data pipelines and ETL processes, collaborate with teams, optimize database systems, implement data quality processes, evaluate new tools and technologies, troubleshoot data-related issues, document processes, stay current with industry trends, guide and mentor team members, stakeholder management, and leadership skills.
Senior Software Engineer on the Insights team at H1, responsible for developing and maintaining software systems to analyze and interpret medical data for healthcare improvements. Collaborate with stakeholders to provide optimal solutions that align with product goals and user needs. Develop algorithms and systems to process and analyze large sets of medical data.
Passionate Data Architect with strong problem-solving skills and analytical skills. Responsible for delivering modern data solutions including data ingestion, data pipeline design, data warehouse & data lake architectures, cognitive computing, and cloud services.
Build and manage data pipelines, data lake, and Big data processing solutions using various technologies. Develop analytical tools, data models, and processes supporting data transformation. Research and prototype new tools/technologies.
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