Top Data Engineer Jobs in Kolkata

As an Azure Data Engineer, design and maintain data pipelines, optimize data flows, and implement security measures while collaborating with cross-functional teams.

As a Data Engineering Manager, lead the development of data products, drive innovation using AI, and manage a team while collaborating across multiple teams.

The Senior Data Engineer will design and implement data ingestion processes, develop scalable data pipelines, and collaborate with teams to integrate data sources.

Responsible for designing and implementing ELT processes, developing scalable data pipelines, collaborating with cross-functional teams, and leveraging AWS services to improve data integration and streaming.

The Data Engineer will produce quality data models, gather data requirements, ensure data quality, and support integration efforts in the healthcare domain.

As a Data Engineer, you will produce high-quality data models, gather requirements, extract and combine data, and support integration efforts while improving data quality for stakeholders.

Design and develop infrastructure and tools for data analytics at Udacity. Collaborate with analysts to generalize data points and build reliable data processing pipelines using AWS technologies.

As a Data Engineer at SUSE, you'll enhance data architecture, engage in hands-on development, mentor others, and drive data strategy forward, focusing on AWS and ETL processes.

The role involves designing and developing data solutions using Databricks, focusing on data pipeline architecture, optimization, and reporting.

As a Junior Data Engineer, you'll design and optimize data pipelines, ensure data quality, collaborate with teams, and contribute to innovative data projects.

Develop and maintain data pipelines using Python and SQL. Use DBT for data transformation and work with data warehouses. Ensure compliance with data governance policies.

The Snowflake Data Engineer will lead projects in data engineering, specializing in Snowflake and manage complex data workflows, ensuring robust data solutions on AWS.

Build infrastructure tools for trading, optimize data delivery, implement process improvements, ensure data monitoring and reporting, and write efficient code.

As a Data Engineer, you will create and maintain data pipelines, support data scientists, and design data solutions on cloud platforms.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

The Snowflake Data Engineer will develop and manage large-scale data pipelines, collaborate with stakeholders, and optimize data engineering solutions using Snowflake.

The Data Engineer will design and maintain data pipelines and infrastructure, collaborate with teams, and ensure data accuracy for client solutions.

The Senior AI Data Engineer is responsible for designing and implementing AI solutions, managing databases, and collaborating with teams to integrate these solutions into the Teamified platform.

Design and develop AI data architecture and API, manage databases, collaborate for AI integration, and optimize models for performance.

The Senior Data Engineer will design high-quality data pipelines on GCP, ensure data quality, mentor junior engineers, and drive AI-based data integration projects.

As a Data Engineer at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.

The Data Engineer will design, build, and maintain scalable data pipelines using Databricks, integrating data into systems and ensuring data quality and performance while collaborating with stakeholders.

As a Senior Data Engineer at Udacity, you'll design and implement data solutions, work with various stakeholders, and enhance data pipeline integrity using cutting-edge technology.

As a Web Data Sourcing Engineer, you will automate collection of investment fund data, develop web scraping tools, and collaborate to enhance data coverage.

As a Web Scraping Engineer, you'll design, build, and maintain web scrapers, implementing advanced techniques and collaborating with teams to ensure efficient data processing and quality.