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.

The Senior Data Engineer will develop AI applications using LLMs, manage data pipelines, and collaborate with data scientists to enhance productivity and insights.

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

As a Data Engineer, you'll develop scalable applications, leverage data analytics, and lead technical projects focusing on customer experience.

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.

As a Data Engineer at Nascent, you will identify novel data sources, develop pipelines, conduct exploratory analyses, and collaborate across teams to enhance trading strategies.

Design and maintain data infrastructure for AI/ML, build robust data pipelines, optimize performance, and collaborate with AI/ML teams.

The Data Engineer focuses on building and maintaining data pipelines for AI/ML applications, integrating models, ensuring data quality, and mentoring team members.

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.

The Data Engineer III manages cloud data platforms, resolves pipeline issues, optimizes performance, and oversees configuration and governance while coordinating with stakeholders.

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.

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

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

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

As a Middle Data Engineer, you will design and maintain SQL data warehouses, enhance reports using SSRS, and develop data pipelines with Airflow.

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

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.

The Data Platform Engineer assists with the data platform blueprint and design, collaborates with architects, and ensures cohesive integration.

The Senior Data Integration Engineer will design and implement integration solutions using Azure services, ensuring seamless data exchange and collaboration across global teams.

The Senior Data Engineer will develop, deploy, and maintain data products in a cloud environment, ensuring data quality and supporting analytics for internal stakeholders.

Design, build, and maintain scalable data pipelines, enhance blockchain reporting, ensure data quality and auditability, and monitor systems.

Develop and optimize Large Language Model solutions for customers across industries, while advising on data science practices and collaborating with engineering and product teams.