Top Data Engineer Jobs in Delhi
The Senior Data Engineer will design and maintain scalable data engineering platforms, build algorithms for massive data processing, integrate new technologies, and improve data pipeline efficiency. They will collaborate with teams to ensure project goals are met and manage data ingestion platforms while creating custom analytics applications.
The Senior Big Data Engineer will develop and scale stream and batch processing systems using various technologies, manage data workflows with Oozie and Airflow, leverage GCP for big data solutions, and implement DevOps best practices like CI/CD and Infrastructure as Code.
This role involves designing and developing a cloud platform, focusing on the full code stack including front-end, back-end, and database integration. The engineer will work on data and analytics applications, enhancing data ecosystems and writing tests, while collaborating with a distributed team using modern architectures and frameworks.
As a Senior Data Engineer, you will contribute to projects that reshape data analytics, designing data schemas, optimizing SQL queries, and maintaining robust data infrastructure for processing large datasets. You will also mentor team members and ensure data quality through effective monitoring and automation of processes.
The Staff Data Engineer will design, develop, and maintain data platforms, solve complex business problems with technical solutions, contribute to architectural decisions, mentor junior engineers, and collaborate with cross-functional teams to create scalable software solutions.
As a Senior Data Engineer at Aryng, you will develop scalable data engineering solutions on cloud platforms (GCP, AWS, Azure). Responsibilities include implementing data ingestion and processing pipelines, managing data engineering solutions, and collaborating with data scientists and business analysts to deliver effective client solutions. You should possess strong problem-solving skills and have a background in consulting.
As a Lead Data Engineer at Cencora, you'll manage Microsoft Azure environments, design and develop scalable solutions, oversee cloud-based infrastructure, and lead a team of engineers. Your expertise will be critical in migrating services to the cloud, implementing IaC, and ensuring security and efficiency. Collaboration with IT teams to enhance operations is also key in this innovative role.
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
As a Senior Data Engineer at Oportun, you will design, develop, and maintain sophisticated software and data platforms. You will contribute to architectural decisions, mentor junior engineers, and collaborate with cross-functional teams to deliver high-quality solutions.
The Staff Data Engineer will design and develop data-driven applications and frameworks, facilitate cloud migrations, and mentor junior team members. Responsibilities include participating in the full software lifecycle, collaborating with product management, and architecting enterprise-level data solutions for scalability and performance.
The Senior Staff Data Engineer will lead the development of a robust data infrastructure, focusing on ingestion, ETL/ELT processes, data quality checks, and ensuring compliance with regulatory standards. This role involves mentoring data engineers, collaborating with data scientists, and creating optimized data pipelines to enhance analytics and decision-making capabilities.
The Senior Data Engineer will develop robust data solutions for the BrightInsight platform, focusing on both batch and real-time data pipelines, utilizing Python and SQL, and ensuring data security and compliance. They will collaborate with engineering teams to optimize performance and support advanced analytics.
Design and implement data solutions using various technical stacks and programming languages. Provide thought leadership and recommend technologies and solutions. Develop custom data pipelines and optimize SQL queries. Must have at least 4 years of experience as a Software Engineer, Data Engineer, or Data Analyst.
As a Senior Data Engineer at 5X, you will design and implement data solutions that address client business needs. Responsibilities include developing data pipelines, optimizing data models for analytics, collaborating with teams for seamless data integration, mentoring junior engineers, and keeping current with data engineering best practices. Proficiency in SQL and Python, alongside experience with Snowflake, BigQuery, and modern data stack tools, is essential.
The Staff Data Engineer role at Oportun involves providing technical leadership, mentoring the data engineering team, designing complex data architectures, developing data pipelines, optimizing databases, and ensuring scalability and performance to meet business objectives.
As a Senior Data Engineer, you will drive the development of Komodo Health's data products, transforming large datasets into insights. Responsibilities include writing enterprise-level code, developing production systems, automating operational tasks, and collaborating with internal teams on architectural designs.
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