Top Data Engineer Jobs in Bengaluru

As a Senior Data Engineer at Nielsen, you will develop and manage scalable data pipelines, collaborate with team leads and backend developers, write tests, optimize applications, and contribute to project management efforts to enhance data processing capabilities.

As a Senior Data Engineer, you will contribute to a Scrum/DevOps team by building scalable and reliable cloud and on-premises solutions, implementing end-to-end systems in Big Data analytics, collaborating with Data Science teams, and mentoring junior members, all while adhering to Agile methodologies.

The Senior Staff Data Engineer will lead the development of a robust data infrastructure, focusing on ingestion, ETL/ELT processes, data quality checks, and ensuring compliance with regulatory standards. This role involves mentoring data engineers, collaborating with data scientists, and creating optimized data pipelines to enhance analytics and decision-making capabilities.

As a Senior Data Engineer at Myntra, you will build and integrate robust data processing pipelines for business analytics, architect big data systems, and enhance the data lakehouse architecture. You will work with a motivated team to improve data quality through innovative engineering solutions leveraging insights for the e-commerce sector.

The Senior Data Engineer will develop robust data solutions for the BrightInsight platform, focusing on both batch and real-time data pipelines, utilizing Python and SQL, and ensuring data security and compliance. They will collaborate with engineering teams to optimize performance and support advanced analytics.

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.

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.