Top Data Engineer Jobs in Bengaluru

Design and implement data solutions using various technical stacks and programming languages. Provide thought leadership and recommend technologies and solutions. Develop custom data pipelines and optimize SQL queries. Must have at least 4 years of experience as a Software Engineer, Data Engineer, or Data Analyst.

As a Senior Data Engineer at 5X, you will design and implement data solutions that address client business needs. Responsibilities include developing data pipelines, optimizing data models for analytics, collaborating with teams for seamless data integration, mentoring junior engineers, and keeping current with data engineering best practices. Proficiency in SQL and Python, alongside experience with Snowflake, BigQuery, and modern data stack tools, is essential.

As a Senior Data Engineer at Roku, you'll build scalable, fault-tolerant data processing systems, manage large datasets, optimize data quality in pipelines, and participate in architectural decisions. You will own data mapping and transformations, ensuring systems function effectively in a production environment.

The Senior Data Engineer will design, architect, and manage end-to-end data pipelines, ensuring data quality and performance in Snowflake. Responsibilities include developing data models, writing code in Python and SQL, implementing ETL practices, mentoring team members, and monitoring data pipelines using Airflow. This role requires translating business needs into technical specifications and delivering deployable code.

The Senior Data Engineer at Index Exchange will develop the next generation of big data solutions, focusing on real-time streaming and batch processing. The role involves building tools and infrastructure to manage vast amounts of auction-related data for internal and external reporting, analytics, and machine learning applications. Candidates should thrive in an Agile environment and be innovative in tackling challenges.

The Senior Data Engineer will build and support data pipelines, automate data processes, optimize ETL services, integrate with external vendors, and manage high-quality data products, collaborating with various business functions to enhance efficiency.

As a Senior Data Engineer at MiQ, you will design and develop scalable big data pipelines while collaborating with product leads and teams in engineering, data science, and analytics. You'll enhance frameworks for high-performance systems and drive the adoption of best practices in software engineering.

The Lead Data Engineer will integrate and analyze diverse biological, clinical, and imaging datasets in drug discovery research, design AI models aligned with scientific hypotheses, and collaborate with cross-functional teams while using agile project management principles to drive progress.

The Staff Data Engineer role at Oportun involves providing technical leadership, mentoring the data engineering team, designing complex data architectures, developing data pipelines, optimizing databases, and ensuring scalability and performance to meet business objectives.

As a Senior Data Engineer, you will drive the development of Komodo Health's data products, transforming large datasets into insights. Responsibilities include writing enterprise-level code, developing production systems, automating operational tasks, and collaborating with internal teams on architectural designs.

As a Data Engineer, you will enhance global processes and systems, providing management information and reporting to support strategic decisions for Real Estate. Responsibilities include product development, driving improvements, leading requirement gathering, maintaining complex data models, and using Power BI for insights.