Top Data Engineer Jobs in Kolkata

The Data Engineer at AlphaGrep will build infrastructure tools to support trading teams, optimize data delivery, and implement internal process improvements. Responsibilities also include assembling data sets, coordinating with global teams, establishing coding patterns, and writing optimized code to ensure adherence to quality standards.

The Oracle FAW/FDI Data Engineer will design and optimize data pipelines, build ETL processes, manage data refreshes, and collaborate with various teams to deliver data-driven solutions for Oracle Cloud ERP and associated data sources.

The Data Engineer will develop insights for sales organizations, maintain SAS processes, and enhance KPI reporting. Responsibilities include handling structured and unstructured data and supporting the Revenue Management team to improve customer engagement and commercial performance.

The Data Engineer will design, develop, and maintain data pipelines using modern ELT tools, optimize data models for cloud warehouses, write complex SQL, and automate data processing. The role involves collaboration with data scientists and stakeholders, monitoring data pipeline performance, and contributing to data engineering best practices.

As a Data Engineer at DEME, you will work on transforming data into high-quality datasets and reports, creating and maintaining data pipelines from various sources. You will collaborate with teams to define requirements, support data scientists, and design modern data solutions on the cloud.

The Associate Big Data Engineer will support the development and deployment of data ingestion processes and ETL code using advanced big data tools. Responsibilities include collaborating with cross-functional teams, optimizing data frameworks, ensuring data security, and operationalizing machine learning solutions under guidance from senior team members.

The Senior Data Engineer at Oportun is responsible for leading the design and implementation of data architectures, developing data pipelines, managing databases, and ensuring data quality. This role includes technical leadership, mentoring junior engineers, collaborating with cross-functional teams, and contributing to software delivery.

As a Senior Data Engineer at Oportun, you will be responsible for designing and maintaining scalable data architectures, developing data pipelines, and overseeing database management. You will also mentor junior engineers, collaborate with cross-functional teams, and ensure data quality and governance. Your role will require strong technical leadership and the ability to optimize performance and reliability in a fast-paced environment.

The Data Engineer will collaborate with various teams to implement data management and security solutions, improve telemetry services, manage data architecture, perform threat analysis, ensure compliance, conduct risk assessments, and train stakeholders. This role requires strong data engineering skills and expertise in cloud environments.

The Senior Data Engineer will design and maintain scalable data platforms, build algorithms for data processing, and integrate new technologies into existing data structures. Collaboration with various teams is essential to achieve project goals, and the role includes managing ingestion platforms and creating custom data applications.

As a Senior Data Engineer at Oportun, you will design, develop, and maintain complex data platforms, providing technical leadership and mentoring junior engineers. You will oversee data architectures and pipelines, ensuring performance, scalability, and data quality, while managing cross-functional projects and collaborating with stakeholders.

The Senior Data Analytics Engineer will develop and maintain scalable data pipelines using Spark, Python, and Scala, primarily within Azure Databricks. Responsibilities include collaborating with global teams, designing data models, ensuring data quality and security, and mentoring junior team members. The role requires strong problem-solving skills and the ability to navigate complex data challenges, all while focusing on business needs and project delivery.

As a Data Scientist - ML Engineer, you will contribute to designing solutions that enhance communication through various Zoom products. You will work collaboratively across teams to develop impactful projects aimed at improving user experiences.

As a Data Scientist - ML Engineer, you will work on designing and delivering collaborations that enhance communication platforms. You will tackle challenges and contribute to impactful projects by analyzing data and applying machine learning principles.

The Senior Data Engineer will design and develop scalable ETL/ELT pipelines, enhance data streaming solutions, and optimize Spark jobs for performance while maintaining data integrity. Responsibilities include collaborating with data teams, documenting workflows, and researching new technologies.

The Senior Data Engineer will design, implement, and maintain complex data architectures, pipelines, and database systems while mentoring junior engineers. Responsibilities include optimizing data integration solutions, ensuring data quality, collaborating with cross-functional teams, and leading technical initiatives to enhance data infrastructure.

The Senior Data Engineer will design and implement scalable data architectures, develop data pipelines and ETL processes, oversee database management, enforce data quality standards, and mentor junior engineers, collaborating with cross-functional teams to deliver high-quality software solutions.