Top Data Engineer Jobs in Bengaluru

As a Data Engineer III, you will design and deliver technology products, develop secure code, analyze data sets, improve software applications, and contribute to software engineering communities. You will also focus on system design, application development, and operational stability across business functions.

As a Data Engineer, you will build and maintain data pipelines, ensure optimal data ingestion and transformation, and apply data quality methodologies. You will work with complex data sets to generate insights, utilizing programming languages and tools in data science and machine learning.

As a Principle Data Engineer at Atlassian, you will drive data engineering practices, develop backend systems and data models, and build scalable data pipelines to support business insights and a data-driven culture.

As a Business Technology Solutions Associate, you will manage project tasks to solve business problems, apply development methodologies, collaborate across teams, and assist in project management and deliverables. You'll leverage expertise in big data technologies, particularly Azure Databricks, SQL, and ETL processes, to drive innovation and enhance client solutions.

As a Business Technology Solutions Associate - Data Engineer at ZS, you'll utilize big data technologies, primarily Azure Databricks, for tasks like ETL processes, data transformations, and query optimization with SQL. You'll ensure data integrity, integrate varied data sources, and work collaboratively using version control. Your role will also involve monitoring data pipelines and adhering to security best practices.

The Business Technology Solutions Associate will work with big data technologies, primarily Azure Databricks, to design ETL processes, optimize SQL queries, integrate data sources, and ensure data quality. Responsibilities also include using Python and PySpark for scripting, managing code with version control, and ensuring compliance with security best practices.

The Senior Data Engineer will design and maintain scalable data pipelines, build API integrations, collaborate with analytics teams, and improve data models for business intelligence tools to enhance data-driven decision making.

The Senior Data Engineer will design and develop data pipelines, ensuring data quality and security in the AWS Cloud while collaborating with architects and business stakeholders. Responsibilities include implementing best practices for data governance and lifecycle management, as well as maintaining documentation and metadata management.