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The Administrative Coordinator at Hiflylabs is responsible for overseeing and administering the entire contracting process lifecycle, monitoring contract amendments, reviewing legal documents, collaborating with project managers, and maintaining internal records of agreements. They also provide reports, organize meetings, and have strong attention to detail and analytical abilities.

As a Contract and Operations Assistant at Hiflylabs, responsible for reviewing, drafting, and tracking legal agreements, collaborating with business unit leaders, organizing meetings, and ensuring efficient finalization of contracts.

Join Hiflylabs as a Senior Analytics Engineer in Brazil. Work on international projects, design and implement Data Pipelines, develop ingestion pipelines, create data transformations, and automate data processes. Reporting to the CTO, you will collaborate with agile teams and use cloud services like AWS and GCP. Must have 4+ years of experience in data modeling, ETL processing, SQL, and Python. Strong English skills and proactive mindset are required.

As a Senior Solutions Architect at Hiflylabs, you will provide technical leadership in designing and implementing big data projects for Fortune 500 clients. This remote role requires expertise in Apache Spark, Databricks, and cloud technologies, with a focus on customer success and business value creation.

Seeking a Data Engineer to join the Analytics Engineering team at Hiflylabs. Responsibilities include building data pipelines in Snowflake, data ingestions, transformations, and optimizing ETL processes. Ideal candidates have experience in Snowflake, data modeling, ETL processing, cloud data management, and strong communication skills. SnowPro certification and Python development experience are advantageous.

Join the Data Platform team at Hiflylabs to work on cutting-edge migration projects, build new cloud platforms, and collaborate with banking clients. Responsibilities include building data pipelines, migrating ETL processes, designing solutions for data extraction and transformation, and creating complex data-driven solutions.

Manage Databricks system configurations, ensure platform performance, coordinate resources, discuss platform usage with customers, provide support, manage Azure configurations, troubleshoot, and provide technical assistance.