Top Data Engineer Jobs in Pune

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.

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

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.

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.

The Data Engineer will work on GCP services and handle big data through ETL processes, employing strong problem-solving skills and analytical abilities.

Designs and develops data management solutions and pipelines using cloud/on-prem tools (Azure, Databricks, Synapse). Performs data profiling, modeling, analytics, automates data quality improvements, and collaborates with stakeholders to translate business needs into data solutions.

Design, build, and operate scalable ETL/ELT pipelines using PySpark and AWS data services. Orchestrate workflows with Apache Airflow, implement AWS Glue jobs and Data Catalog, manage Lake Formation permissions, publish datasets for BI, and deliver QuickSight visualizations while ensuring data quality and performance.

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

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

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

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

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

Design and develop secure, high-performance data pipelines in Snowflake, ensuring data quality and collaborating with teams on solutions.

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.

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

The Senior Data Engineer will design and implement ELT processes, build data pipelines, collaborate with teams, utilize AWS services, and ensure seamless data integration.

As a Senior Software Product Data Engineer, you will design, develop, and optimize data pipelines, ensuring data quality and integrity while collaborating with teams to improve products and support machine learning operationalization.

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. Lead architecture implementation, mentoring, and collaboration with other teams on data-related objectives.

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

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

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

Design and implement scalable Snowflake architectures, lead data integration initiatives, mentor teams, and ensure adherence to data modeling standards.

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.