Top Python Jobs in Bengaluru

The DevOps Architect will lead a team of Site Reliability Engineers to design and maintain scalable, reliable infrastructure on AWS, ensuring security and compliance. Responsibilities include collaborating with Agile teams, conducting audits of cloud utilization, and mentoring teams in cloud best practices.

As a Lead Data Architect for Azure, you will innovate, build, and maintain technology services to deliver large-scale Data Engineering projects for Fortune clients. You will handle team management and project delivery, develop software systems, and leverage cloud technology to enable analytics while ensuring robust architecture discussions.

As a GCP Engineer, you will develop software and systems for large-scale client projects, focusing on data pipelines, transformations, and ETL orchestration. You will work with various GCP services and ensure the delivery of complex data engineering solutions.

The AWS Engineer role involves hands-on experience with AWS services, especially AWS Glue, and requires proficiency in developing automation solutions, integrating AWS services, and working with cloud-based systems. Responsibilities include managing Kafka configurations and reviewing Java applications for migration to AWS services like Lambda and Mule. Candidates should be prepared to engage in all SDLC phases and contribute to client business development.

The Cloud Data Engineer will design and build pipelines for data ingestion into BigQuery, monitor and troubleshoot data pipelines to ensure high-performance, and maintain knowledge of Data Warehousing, ETL processes, and various programming languages.

The Verification Engineering Lead Analyst will leverage a solid understanding of SIP and strong networking skills to test VoIP products and solutions. The role requires hands-on experience with virtualization and cloud technologies, automation using Python, and familiarity with software development tools. The candidate will also work within an Agile development process that prioritizes data analytics.

This role requires an experienced Senior Data Engineer II to lead the development of a quality and regulatory intelligence platform in the life science sector. Responsibilities include designing and maintaining data pipelines, ensuring data quality, collaborating in Agile Scrum teams, guiding technical decisions, and integrating various systems.

As a Data Engineer II, you'll contribute to the creation of documentation, write clean code, and develop expertise in data engineering, modeling, and pipeline orchestration. You will also manage complexities, collaborate with teams, and adapt to moderate ambiguities while working on data pipelines, APIs, and ETL processes.