Top Data Engineer Jobs in Kolkata

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.

Build, operate, and scale ingestion pipelines for marketing data (ad platforms, ecommerce, analytics). Normalize and transform data into shared schemas, ensure multi-tenant reliability, observability, and security, and partner with AI/data-science teams to expose clean data for agents.

Design, implement, and automate Snowflake data ingestion and DBT transformation pipelines (Data Vault 2.0). Troubleshoot data operations, implement data quality monitoring, optimize platform performance, and deploy code via CI/CD while collaborating with the team.

Hands-on Big Data Engineer responsible for PySpark development on Azure Databricks, advanced SQL, and data warehouse/DWH work. Own data ingestion, preparation, integration, operationalization, and end-to-end development (coding, testing, debugging, deployment). Understand data lakes, data warehouses, and data marts. Strong communication required.

Seeking an experienced Big Data Engineer with 5+ years in Microsoft BI Stack and 3+ years as Azure Data Integration Lead. Responsibilities include database management and SQL scripting.

As a Senior Data Engineer I, you will build data capabilities for product expansion, integrate external APIs, design robust data pipelines, and collaborate with various teams to enhance systems and practices.

As a Senior Engineer for Strategic Data Solutions, you will manage data warehousing, reporting, and analytics for internal operations and external partners. Responsibilities include collaborating with business units, providing insights, and ensuring high-quality data reporting.

The Senior Data Engineer will build and optimize data pipelines in Azure Databricks, migrate existing pipelines from Azure Synapse, and design scalable data models to support a financial services client's data platform modernization.

The Senior Data Engineer will design and build scalable data systems and analytics infrastructure, ensure data quality, and lead technical direction. Responsibilities include developing AI capabilities for the analytics platform and collaborating with teams to translate complex data into actionable insights.

As a Lead Data Engineer, you will design and manage data pipelines, develop ETL processes, and ensure data quality. Mentorship of junior engineers is also part of the role.

The Senior Data Engineer will design and maintain data pipelines, implement Medallion architecture, develop ETL/ELT processes, and improve data quality while collaborating with analysts to derive insights from data.

The Senior Data Analytics Engineer at MariaDB designs and builds data pipelines, writes SQL queries, develops internal tools, and translates data into actionable insights. They will collaborate closely with stakeholders and leverage AI tools to enhance analytics workflows.

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.

Design, build, and optimize scalable data solutions on Azure. Manage data pipelines and ensure data quality while collaborating with stakeholders.

The Senior Data Engineer will design and optimize ETL/ELT pipelines, manage data integration, perform data validation, and support reporting solutions using various technologies.

The Snowflake Senior Data Engineer will lead projects in data engineering, utilizing Snowflake and various AWS services to optimize data workflows and storage, while also guiding the team and collaborating with stakeholders.

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

The Data Engineer will build solutions for large data volumes, work with data scientists, and develop machine learning models.

The Senior Data Scientist & Engineer will build and manage data infrastructure, analyze product usage, build models, track metrics, run experiments, and communicate insights to guide product decisions.

The Senior Data Engineer - II will design data pipelines, optimize ETL workflows, manage databases, and support Power BI reporting for business decisions.

The role involves data analytics with a focus on querying large data sets, visualization using Tableau, and applying quantitative skills, predominantly in the FMCG and Food & Distribution sectors.

The Big Data Engineer will support existing applications and work on new design and implementation requirements, utilizing big data technologies and tools.

The Data Analyst prepares, analyzes, and validates data, applying statistical methods and visualization techniques to derive insights and support business objectives. Communicates findings effectively and collaborates with Data Engineers for model and dashboard implementation.