Top Data Engineer Jobs in Kolkata

Design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes for data migration.

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.

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 Business Data Analyst II will design and optimize SQL and PL/SQL scripts, develop Java applications and RESTful APIs, gather requirements, and ensure solutions maintain data integrity and security.

Design and optimize SQL scripts, develop Java applications and APIs, lead collaboration sessions, and ensure solutions adhere to RDBMS principles.

Design, build, and maintain large-scale data pipelines in a cloud environment, collaborating globally on data products for analytics and ML.

The Associate Data Engineer will assist in building and maintaining data pipelines, writing SQL queries, and ensuring data quality using tools like Snowflake and Matillion.

Design and implement critical processes for a subscription billing system while collaborating with cross-functional teams. Requires expert SQL skills and familiarity with various databases and DevOps methodologies.

As a Data Engineer focusing on web scraping, you will manage scraping configurations, monitor errors, oversee data retrieval, and build data pipelines.

As a Data Engineer, you will enhance data pipelines, support ML workflows, and improve cloud infrastructure on Azure and AWS, collaborating with Scientists and Engineers to turn data into actionable insights.

We are looking for a Data Engineer with skills in Python, SQL, and Azure technologies to develop Big Data applications. Responsibilities include working with Spark and Docker to handle large scale data processing and analytics.

The Azure Data Engineer will implement big data pipelines using Azure technologies, collaborate with stakeholders, and utilize tools like Data Factory and Databricks.

The Azure Data Engineer will build data pipelines and dataflows, implement security modules, and work with Azure services while supporting business requirements and data analysis.

The Data Engineer role involves analyzing raw data, building data systems, conducting complex analyses, and enhancing data quality by collaborating with data scientists and architects.

This role involves collaborating with users to build data solutions, managing AWS data technologies, and automating workflows for efficiency.

As a Data Engineer, you will design and implement cloud data platforms and pipelines, ensuring secure, scalable solutions for analytics and AI. Responsibilities include client delivery, collaboration with teams, leadership in architecture workshops, and contributing to internal initiatives.

Responsible for designing and developing a GCP data ecosystem, creating data pipelines, optimizing data architectures, troubleshooting issues, and mentoring junior engineers.

The role involves developing and maintaining data pipelines, ensuring data quality, and collaborating on technical documentation and team processes.

The GCP Data Engineer designs and builds scalable data pipelines on Google Cloud Platform, optimizing performance and collaborating with stakeholders to support analytics and data processing.

The Data Engineer designs and develops data pipelines for storage and processing, optimizes data integration, and collaborates with analysts on data models and KPIs, while leveraging cloud and AI technologies.

The role involves designing and building data infrastructure, developing ETL/ELT applications, collaborating with teams, and improving engineering processes for analytics and AI capabilities.

As a Data Engineer, you will design and maintain data pipelines, enhance blockchain reporting, and ensure data quality while integrating external data sources and working with various teams.

The Data Engineer will build and maintain ETL/ELT pipelines, implement automated data quality checks, optimize data storage, and create interactive visualizations. They will manage CI/CD pipelines and deliver production-ready data solutions.

The Senior Data Engineer will design and implement scalable data pipelines for Salesforce data migration, manage data quality, and optimize performance in Snowflake.

The Data Engineer will design and maintain data models, develop BI solutions, integrate data, and optimize data flows while collaborating with stakeholders.