Top Tech Jobs & Startup Jobs

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.

Lead finance analytics consulting projects while developing advanced financial modeling techniques. Mentor a team, provide strategic guidance to clients, and support digital transformation in finance. Stay updated on finance and digital technologies to enhance consulting services and improve clients' financial performance.

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.

As an Analytics Technology Engineer, you will develop software and systems for large-scale projects, design and implement microservices using Spring Boot, work through the full SDLC, and maintain compliance with engineering principles while communicating effectively within the team.

The Data Engineer will develop and maintain big data solutions, evaluate complex data challenges, and implement scalable code. Responsibilities include managing data workflows, testing machine learning models, and delivering insights through analytics. Proficiency in Java, C++, or Python, along with experience in Hadoop and Spark, is required.

The Cloud Platform Engineer will design, implement, and monitor cloud infrastructure using DevOps practices. The role involves automating cloud resources with Terraform and Argo, developing serverless applications using AWS Lambda and ECS, and writing production-quality code in Python. The position will also require strong skills in AWS architecture with a focus on security and performance.