Top Data Engineer Jobs in Pune

As a Data Engineer, you will create and maintain data pipelines, support data scientists, and design data solutions on cloud platforms.

The Senior Data Engineer leads the design of data pipelines and full stack applications, mentors junior engineers, and collaborates on innovative data solutions for various products.

Join our data engineering team to develop data products, maintain ELT pipelines, and collaborate on data modeling and analytics solutions.

The Sr Data Engineer will design and maintain data warehouse solutions, write complex SQL queries, develop data pipelines with Python, and use AWS services for data analytics.

The Senior AI/ML Engineer will lead AI/ML projects, collaborate with teams, ensure effective deployment, and mentor junior engineers.

As a Middle Data Engineer, you will design and maintain SQL data warehouses, enhance reports using SSRS, and develop data pipelines with Airflow.

The Data Engineer will design and maintain data pipelines and infrastructure, collaborate with teams, and ensure data accuracy for client solutions.

Lead the development of advanced data pipelines and machine learning models to optimize online marketing campaigns while collaborating with cross-functional teams.

The role involves ensuring data quality through testing ETL workflows, developing test plans, and collaborating with technical teams to maintain data integrity.

The Lead Data Engineer will develop Azure-based data engineering solutions, implement ETL processes, collaborate with stakeholders, and drive innovation in data strategy.

The Lead Data Engineer will develop and integrate solutions on Azure, implement ETL processes, and collaborate with stakeholders to meet business objectives.

The Senior Data Engineer will design high-quality data pipelines on GCP, ensure data quality, mentor junior engineers, and drive AI-based data integration projects.

The Senior Data Engineer will build scalable data systems, optimize pipelines, and design data architectures while collaborating with cross-functional teams.

The Senior Data Engineer will innovate, build, and maintain technology services, focusing on complex data engineering projects within Azure environments.

The Senior Data Engineer will design, develop, and govern software solutions on the Databricks platform, ensuring scalability and security, while collaborating with agile teams and managing cloud data services.

Designs and maintains AI models, manages data pipelines, collaborates with cross-functional teams, and presents technical solutions to executives.

The Salesforce Data Migration Developer manages data migration projects within Salesforce, focusing on ETL processes using tools like Informatica, while ensuring data accuracy and security.

Lead the development of a reporting platform through data engineering, machine learning models, and deployment strategies while collaborating with stakeholders.

The Senior Data Engineer will develop secure data pipelines, drive automation, and enhance data access standards while collaborating with teams to innovate in Big Data solutions.

The Data Quality Engineer ensures product quality through testing, participates in Agile processes, and collaborates with teams to improve quality standards.

The Senior Data Quality Engineer will ensure quality in products through Agile practices, create test cases, and manage automation scripts while collaborating with teams.

The ML & Data Engineer will develop data platforms, manage data lakes, build data pipelines, and integrate AI models for business needs.

The Senior Data Engineer develops and implements software automation processes, collaborating with teams to align objectives, and supports automation infrastructure through programming and technology innovation.

Seeking a Data Science expert with 11+ years in predictive modeling and optimization, strong Python/R skills, and cloud architecture knowledge.

The Senior Staff Engineer in Data Science will develop predictive models, optimize solutions, and oversee ML model deployment while collaborating with cross-functional teams.