Top Data Engineer Jobs in Pune

Lead technology-driven projects using cloud solutions to solve business issues, mentor teams, and collaborate globally with clients for optimal outcomes.

The GCP Data Engineer will develop, test, and maintain data pipelines, optimize SQL queries, assist in data model design, and troubleshoot data quality issues, while collaborating with team members on large-scale projects in a dynamic environment.

As a Data Engineering Manager, lead the development of data products, drive innovation using AI, and manage a team while collaborating across multiple teams.

Lead projects using cloud technologies to address complex business challenges, mentor teams, and ensure scalable technology solutions, focusing on client satisfaction and project delivery.

Design, develop, implement and maintain Big Data solutions for Disability & Absence products. Build batch, speed, and serving layers using Spark, Hive, NoSQL, SOLR and Kafka; optimize Hadoop jobs; automate with Shell/Python; support deployments, CI/CD, runbooks, and cross-team collaboration.

The GCP Data Engineer will develop and maintain data pipelines, optimize SQL queries in BigQuery, assist in data modeling, and ensure data quality. Collaboration with team members to meet data requirements is essential.

Technical leadership for a team responsible for GCP data engineering, focusing on development, deployment, operations, and migration of services from on-premise to cloud.

The Data Engineer III develops and implements data engineering solutions, performs complex data analysis, and manages data systems while collaborating with teams to enhance healthcare data efficiency.

As a Data Engineer, you will work with GCP technologies, managing big data, utilizing ETL/ELT processes, and collaborating across teams while advancing in your career.

As a Data Engineer, you will build data pipelines, design data models, and deploy Data Ops, collaborating with multiple teams to enhance product offerings.

Design and develop complex, large-scale data pipelines and end-to-end solutions across enterprise Big Data environments. Ensure data reliability, performance, and adherence to engineering best practices while collaborating in Agile teams.

The Data Engineer will design, develop, and maintain data solutions, focusing on data pipelines, quality assurance, and ETL processes.

Design and implement scalable Snowflake architectures, lead teams, define data standards, and mentor members while supporting pre-sales initiatives and managing GenAI projects.

Design and implement high-performance Snowflake architectures while collaborating with data teams. Lead initiatives, define modeling standards, and mentor team members.

The Data Engineer will design and maintain data solutions, build pipelines, ensure data quality, and collaborate on project requirements while leveraging Snowflake features.

The Data Engineer will design, develop, and maintain Snowflake data solutions, create data pipelines, implement ETL processes, and ensure data quality while collaborating with project leads.

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

Design, develop, and maintain data solutions using Snowflake. Build data pipelines, ensure data quality, and implement ETL processes. Collaborate with teams on architecture and support analytics.

Design, develop, and maintain data solutions, create and manage data pipelines, ensure data quality, and implement ETL processes primarily using Snowflake.

Design, build and maintain scalable Snowflake data pipelines and ETL/ELT processes. Ensure data quality, performance tuning, and security. Collaborate with architects, data engineers and business teams, support CoE initiatives and GenAI POCs.

Design, develop, and maintain scalable Snowflake data pipelines and ETL/ELT processes. Ensure data quality, performance tuning, and security. Collaborate with architects and teams to implement architectures, support delivery teams, and contribute to CoE guidelines, POVs and POCs across projects.

Design and implement scalable Snowflake architectures, lead data solutions, mentor team members, and support pre-sales activities.

As a Snowflake Lead, you will design and implement scalable Snowflake data pipelines, collaborating with teams to ensure data quality and performance.

The Data Engineer will design, develop, and maintain data solutions, focusing on data pipelines and ETL processes within Snowflake.

As a Snowflake Lead, you'll design and maintain data solutions, creating pipelines and ensuring data quality across multiple projects, while collaborating with teams.