Top Data Engineer Jobs in Kolkata

The Data Engineer II designs and implements data management and analytics solutions, focusing on cloud technologies and sustainability in data delivery.

The role involves designing, developing, and maintaining data models and ETL pipelines using Python, SQL, and DBT, ensuring efficient data management for analysis-ready datasets.

Design, build, and optimize data solutions on Google Cloud Platform, creating data pipelines and transforming data for performance and cost efficiency.

The Data Engineer will design and implement large-scale enterprise data solutions on Google Cloud Platform, optimizing data pipelines, performing data transformations, and ensuring efficient data ingestion and curation.

The Data Engineer will build infrastructure tools to support trading teams, optimize data processes, and coordinate with global teams, ensuring efficient data delivery and coding standards.

As a Data Engineer, you will transform data into valuable insights, develop data pipelines, and support data scientists while ensuring data quality.

As a Data Engineer, you will build and monitor large-scale data pipelines, develop DBT setups for data transformation, and address customer issues with the data platform team.

The Data Engineer/BI Engineer will design ETL/ELT pipelines, manage databases, and create dashboards, contributing to AI-driven data initiatives.

The Senior Data Engineer will design and optimize data infrastructures and pipelines to support analytics, ensuring data integrity and quality.

The role involves developing data solutions using Snowflake, managing data modeling, and integrating Salesforce/SalesCloud datasets.

As a Data Engineer, you'll develop and maintain scalable ETL/ELT pipelines, monitor data quality, and collaborate with teams to optimize data systems.

The Senior Data Engineer leads the development of data infrastructure, optimizes data pipelines, ensures data integrity, and mentors junior engineers while addressing complex data challenges.

The Senior Data Engineer will develop and support data products, manage ETL processes, and collaborate with analysts and scientists to enhance analytics capabilities.

As a Senior Data Engineer, you will design and maintain data architectures, develop data pipelines, ensure data quality, mentor junior engineers, and collaborate with cross-functional teams to deliver software solutions.

Lead the design and optimization of data architecture and pipelines, mentor team members, and ensure data-driven decision-making across the organization.

Lead design, development, and maintenance of data platforms; optimize data pipelines; manage databases; mentor junior team members.

The Associate Principal Engineer in Data Science will lead predictive modeling projects, design data solutions in the cloud, and ensure high-quality code delivery, focusing on advanced AI methodologies and MLOps.