Analytics Architect

GeorgiaTEK Systems Inc.; Teletrabalho; BRL 525.000 - 684.000; Tempo integral

Resumo da oferta

A tech solutions company is seeking an Analytics Architect to lead the design and implementation of analytics initiatives using Azure Databricks. The ideal candidate will have over 12 years of experience in data engineering, strong SQL skills, and knowledge of big data technologies, ensuring effective data solutions that meet business needs. This is a full-time, remote position based in Brazil with opportunities for professional growth and leadership.

Qualificações

• 12+ years of experience developing data ingestion and transformation pipelines.
• Expertise in Azure Databricks and associated tools.
• Proficient in building and optimizing data solutions.

Responsabilidades

• Lead design and implementation of analytics solutions using Azure Databricks.
• Oversee end-to-end implementation of data solutions.
• Provide technical leadership and mentorship to the team.

Conhecimentos

Azure Databricks

Big data technologies

SQL

Data engineering

PySpark

ETL processes

Cloud security best practices

Ferramentas

Azure Data Factory

Azure Data Lake

Power BI

Delta Lake

Descrição da oferta de emprego

Overview

Role: Analytics Architect

Location: LATAM (Remote)

Mode: Full Time

Responsibilities

• Lead the architecture, design, and implementation of advanced analytics solutions using Azure Databricks / Fabric. The ideal candidate will have a deep understanding of big data technologies, data engineering, and cloud computing, with a strong focus on Azure Databricks along with strong SQL.
• Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions.
• Oversee the end-to-end implementation of data solutions, ensuring alignment with business requirements and best practices.
• Lead the development of data pipelines and ETL processes using Azure Databricks, PySpark, and other relevant tools.
• Integrate Azure Databricks with other Azure services (e.g., Azure Data Lake, Azure Synapse, Azure Data Factory) and on-premise systems.
• Provide technical leadership and mentorship to the data engineering team, fostering a culture of continuous learning and improvement.
• Ensure proper documentation of architecture, processes, and data flows, while ensuring compliance with security and governance standards.
• Ensure best practices are followed in terms of code quality, data security, and scalability.
• Stay updated with the latest developments in Databricks and associated technologies to drive innovation.

Essential Skills

• Strong experience with Azure Databricks, including cluster management, notebook development, and Delta Lake.
• Proficiency in big data technologies (e.g., Hadoop, Spark) and data processing frameworks (e.g., PySpark).
• Deep understanding of Azure services like Azure Data Lake, Azure Synapse, and Azure Data Factory. Power BI, SSRS, SSAS, PSKU to F SKU.
• Experience with ETL / ELT processes, data warehousing, and building data lakes.
• Strong SQL skills and familiarity with NoSQL databases.
• Experience with CI / CD pipelines and version control systems like Git.
• Knowledge of cloud security best practices.

Experience

• Demonstrated expertise of 12+ years in developing data ingestion and transformation pipelines using Databricks / Synapse notebooks and Azure Data Factory.
• Solid understanding and hands-on experience with Delta tables, Delta Lake, and Azure Data Lake Storage Gen2.
• Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation.
• Proficiency in building and optimizing query layers using Databricks SQL.
• Demonstrated experience integrating Databricks with Azure Synapse, ADLS Gen2, and Power BI for end-to-end analytics solutions.
• Prior experience in developing, optimizing, and deploying Power BI reports.
• Familiarity with modern CI / CD practices, especially in the context of Databricks and cloud-native solutions.
• Apply or share the profile to [e-mail]