Top Data Engineer Jobs in Pune

The Senior Data Engineer will design and implement ELT processes, develop scalable data pipelines, and collaborate on data integration using AWS services. The role requires 5+ years experience, particularly in data engineering environments.

The Senior Data Engineer will design data architectures, build scalable pipelines, and work with data teams to empower decision-making with company-wide analytics.

The Senior Data Engineer is responsible for developing data pipelines, improving data models, and integrating new data management technologies while consulting on complex projects.

The Sr. Data Engineer will design and implement data pipelines, utilizing big data tools and technologies. Responsibilities include programming in Pyspark/Scala, managing scheduling with Airflow, and troubleshooting code issues. The role supports financial and energy sectors, emphasizing innovative solutions in data engineering.

The Data Engineer will design and implement ETL pipelines, migrate data, and ensure data modeling for various projects, especially within HR.

As a GCP Data Engineer, you'll design and implement data pipelines, transform raw data into insights, and ensure data quality for decision-makers.

As a Data Engineer, you'll design, develop, and maintain data solutions, creating pipelines, ensuring data quality, and implementing ETL processes.

The Data Engineer will develop and support real-time data streams, ensure data quality, and collaborate with teams on data requirements while leading other engineers.

The Data Engineer will design, implement, and maintain data pipelines in Snowflake while optimizing SQL queries and managing data workflows. This role emphasizes collaboration with business stakeholders and requires expertise in data integration and transformation.

As a GCP Data Engineer, you will design data pipelines, manage data solutions, ensure data quality, and collaborate with teams to provide insights functionalities.

The Data Engineer will manage and transform data using Snowflake, handle semi-structured data, and develop ETL processes while ensuring data accuracy and warehousing principles.

As a Data Engineer at Roche, you'll design ETL/ELT pipelines, optimize data solutions, and collaborate on analytics to enhance data utilization.

Design and implement large-scale data solutions on Google Cloud Platform, optimizing data pipelines and managing analytics operations.

Seeking a Data Engineer to design and deploy cloud-based data solutions, utilizing Python and SQL, following Agile methodologies and best practices.

The Data Engineer is responsible for building ETL pipelines, working with SQL, GCP, Python/Airflow, and managing data conversion. Experience in HR project migration is required.

The Data Engineer will implement data pipelines and analytics solutions using AWS technologies, collaborate with stakeholders, and optimize data processes.

Design, develop, and maintain data pipelines for HR systems, ensuring data accuracy and accessibility for People Analytics.