Top Data Engineer Jobs in Kolkata

No role-specific responsibilities provided in the posting. Typically, a Unit Manager - Data Governance leads the data governance function: defining and enforcing data policies, managing data quality and metadata, coordinating stakeholders, ensuring regulatory compliance, and supervising a team to implement governance processes.

As a Data Engineer, you will design, develop, and maintain data solutions, create pipelines, ensure data quality, and implement ETL processes.

The Data Engineer will design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes for effective data management.

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.

Assist in designing and implementing scalable data processes, develop data pipelines, support ETL from multiple sources, and enable data-driven business solutions.

Seeking experienced Data Engineers with 5-7 years of experience in Databricks, PySpark, and Data Fabric concepts to aid in data transformation initiatives.

The Data Engineer will develop end-to-end technical solutions, ensuring performance and scalability on cloud data platforms, while leveraging programming and data integration technologies.

The Data Engineer will design, build, and maintain ETL/ELT pipelines, ensuring data quality, security, and compliance while collaborating across multiple teams.

Design and build data infrastructure and architecture, optimize data processes, implement ELT applications, and develop high-quality data pipelines for clients.

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.

Lead the design and delivery of AI-driven solutions using Generative and Agentic AI while managing a team and collaborating across multiple teams.

As a Data Platform Engineer, you will lead AI-driven solution design, collaborate on integration, and enhance workflows using Snowflake Data Warehouse.

Design and develop enterprise-grade solutions using Generative and Agentic AI, collaborating with teams to integrate systems and ensure application delivery aligns with business objectives.

The Data Platform Engineer will design, develop, and deliver AI-driven solutions while collaborating with teams to optimize workflows and meet project milestones.

The Data Platform Engineer will design and implement AI-driven solutions, managing technical projects while ensuring team collaboration and optimization of data workflows.

The IT Data Engineer will develop and optimize ETL/ELT workflows, implement Lakehouse architecture, integrate Azure services, and oversee data governance practices, while supporting CI/CD and collaborating with stakeholders.

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.

Design and deliver end-to-end cloud data solutions, lead discovery and technical design, build and optimize scalable ETL/ELT and real-time pipelines, implement CI/CD and IaC, develop observability and data quality, perform performance tuning and root-cause analysis, and advise customers while contributing to automation and thought leadership.

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 Data Engineer will design and maintain ETL pipelines, optimize data models, ensure data quality, and transform HR data into actionable insights for workforce decisions.

The Data Engineer designs and implements scalable data processes, manages data pipelines, assists data scientists, and supports the organization's cloud strategy while leading junior engineers.

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

The Data Engineer / Analytics Engineer will build scalable data models and pipelines using dbt and Snowflake while collaborating with stakeholders and engineers.

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.