Top Data Engineer Jobs in Kolkata

As a Business Intelligence Data Engineer, you'll develop scalable data architectures and models, manage data pipelines, and enhance analytics using AI tools.

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

The Data Engineer designs, develops, and maintains data pipelines and infrastructure, ensuring data accuracy and accessibility while collaborating with data teams.

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.

Lead the data engineering team to build scalable data pipelines, design data architecture, and collaborate with cross-functional partners. Ensure data quality and drive architectural vision aligned with business needs.

The Data Engineer is responsible for designing and maintaining data pipelines, ensuring data quality, and integrating data for analysis using advanced technologies such as Snowflake and AWS.

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

Data Engineer focusing on AI/ML to design data pipelines, integrate ML models, and maintain data infrastructure for analytics and business intelligence, collaborating with cross-functional teams and mentoring junior engineers.

The Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.

The Data Engineer will build and maintain data pipelines, ensuring data quality for AI, machine learning, and data science applications. Responsibilities include data ingestion, processing, and collaboration for high-quality dataset delivery.

As a Data Engineer I, you will design and develop data pipelines, optimize SQL queries, ensure data integrity, and collaborate with stakeholders to deliver data solutions.

Design and maintain SQL-based solutions, optimize ETL workflows using SSIS, and translate business requirements into SQL queries.

The Data Visualization Engineer is responsible for building data models, dashboards, and insights for B2C products using SQL and BI tools.

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

Lead the analysis and design of data solutions, manage delivery, mentor a team, and engage stakeholders, utilizing SQL and Power BI.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.

The Senior Data Engineer will design, build, and maintain scalable data processing systems, optimizing data pipelines, and collaborating on data architecture.

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

Analyze business requirements for data visualization, design and maintain PowerBI dashboards, integrate data using SQL and Snowflake, and enhance processes.