Top Data Engineer Jobs in Kolkata

As a Senior Data Engineer, you will build data solutions and applications that influence key business decisions, manage data models/pipelines, improve data quality, and partner with data analytics teams to enable data-driven insights. You will also be responsible for architectural design, data acquisition, and collaborating with various stakeholders.

As a Data Engineer at FairMoney, you will design and maintain data ingestion and integration solutions, build data orchestration pipelines using Airflow, ensure data quality and reliability, and assist business stakeholders in understanding and leveraging data for analytics and decision-making.

The Data Engineer will collaborate with finance teams and stakeholders to extract insights, build data pipelines, and develop models to enhance sales performance and financial processes. Responsibilities also include defining KPIs and ensuring data-driven decision-making.

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 build infrastructure tools and applications to support trading teams, automate processes, optimize data delivery, and ensure adherence to coding standards. They will also coordinate with global teams, assemble complex data sets, and implement internal process improvements.

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 transform data into high quality datasets and reports, create and maintain data pipelines, and develop data models. You will collaborate with various teams to enable data-driven decisions and support data-related projects.

The Senior Data Engineer will enhance data reliability and quality, integrate raw data from various sources, and develop architectures for data modeling.

The Data Engineer is responsible for designing, developing, and maintaining data infrastructure, optimizing performance, collaborating with cross-functional teams, and supporting data-driven decision making. This role requires expertise in data warehousing, ETL processes, and cloud technologies, with a focus on building scalable data pipelines and systems.

The candidate will work as a Data Engineer and Power BI developer, responsible for collaborating with global business users and IT teams to provide integrated solutions in the cloud, focusing on data warehousing, analytics solutions, and technical design.

The Data Engineer will design, build, and operationalize large-scale data solutions using Google Cloud Platform tools. Responsibilities include creating data transformation functions, developing production data pipelines utilizing Python, and optimizing performance and costs in a hybrid big data architecture.

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 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.

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.

The Sr. Business Intelligence Engineer is responsible for building analytics solutions, optimizing data pipelines, collaborating on requirements, code optimization, and data governance.

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.