Top Data Engineer Jobs in Pune

The Data Solutions Engineer leads customer data integration projects, utilizing SQL and ETL solutions, mentoring juniors, and improving processes.

The Software Engineer will design and maintain large-scale data pipelines, optimize workflows, and ensure data quality for Ads reporting and analytics.

The role involves designing and maintaining data integration solutions, optimizing ETL processes, and leading teams in a DevOps environment.

The Senior Staff Engineer, Data Science will lead data science projects, mentor team members, and implement machine learning solutions, focusing on statistical analysis, model deployment, and using deep learning frameworks.

Lead software development and deployment in R and Python, manage CI/CD pipelines, oversee data strategy, and enhance performance optimization.

As a Senior Test Engineer, you will deliver testing and automation solutions for the Investment Data Platform, create tests, maintain automation frameworks, and collaborate with cross-functional teams to enhance product delivery.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.

The role involves building and scaling the Acceldata Open Data Platform, focusing on observability, coding, debugging, and collaborating with teams and the open-source community.

The Senior Developer will design and implement custom data warehousing and BI solutions, translating business needs into technical specifications, and leading product implementations for clients.

Lead the development and implementation of data solutions, mentor engineers, and ensure performance and security across cloud platforms. Requires 8+ years of experience with data engineering, SQL proficiency, and client communication skills.

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.

Design and develop cloud services for data protection in SaaS, ensuring code quality and participating in code reviews and on-call rotations.

Design and build data infrastructure components, develop cloud-native tooling, and implement CI/CD pipelines to support data processing at Maersk.

The Senior Data Engineer will design, build, and maintain scalable data processing systems, optimizing data pipelines, and collaborating on data architecture.

The Senior Data Engineer will focus on designing ETL processes, building and optimizing data pipelines, improving data quality, and collaborating with cross-functional teams on data solutions.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

Seeking a freelance technical writer for data infrastructure and engineering workflows. Responsibilities include translating complex concepts into digestible content and collaborating with SMEs for accurate communication.

As a Senior Software Engineer at DeepIntent, you will establish data practices, build data architectures, and create data pipelines while collaborating with stakeholders.

The role involves providing advanced analytics and data science insights to sales, developing predictive models, collaborating on AI use cases, and driving ML product development.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As a Senior Data Engineer, you'll design data models, implement data pipelines, guide code reviews, and enhance analytics products to drive data-informed decisions.

Design and build data infrastructure, develop data pipelines, optimize queries, and collaborate with stakeholders to create accessible data models.

The Senior Data Engineer will build and optimize ETL/ELT data pipelines using Azure Databricks and Apache Spark, ensure data governance, and collaborate with stakeholders to translate business needs into data engineering solutions.

The role involves designing, developing, and deploying machine learning models for AI-driven banking solutions. Responsibilities include understanding requirements, coordinating application development, and leading user acceptance tests.