Protagona
Protagona is a cloud consulting firm specializing in data engineering, artificial intelligence, and cloud acceleration services. Founded by a team with extensive experience in the industry, they focus on helping organizations develop comprehensive strategies for navigating cloud partnerships and optimizing their data strategies. Protagona aims to streamline operations, enhance security, and deliver tangible results for businesses across various industries, ensuring that their solutions are aligned with client needs and aspirations.
AWS • Data Lakes • App Modernization • Financial Services • Security
51 - 200 employees
🤖 Artificial Intelligence
AWS Data Engineer
February 15
Protagona
Protagona is a cloud consulting firm specializing in data engineering, artificial intelligence, and cloud acceleration services. Founded by a team with extensive experience in the industry, they focus on helping organizations develop comprehensive strategies for navigating cloud partnerships and optimizing their data strategies. Protagona aims to streamline operations, enhance security, and deliver tangible results for businesses across various industries, ensuring that their solutions are aligned with client needs and aspirations.
AWS • Data Lakes • App Modernization • Financial Services • Security
51 - 200 employees
🤖 Artificial Intelligence
📋 Description
• As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment and configuration of cloud resources to meet individual client business needs in AWS. • Client engagements cover a wide variety of business requirements and require our engineers to adapt quickly and stay on top of recent cloud technology trends. • Candidates should be able to identify and remediate issues within cloud-based systems, based on their knowledge of industry standards and best practices. • Work with the team to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management. • Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components and enhancements. • Participate in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution. • Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of programming. • Develop data pipelines / APIs using Python, SQL, potentially Spark and AWS, Azure or GCP Methods. • Use an analytical, data-driven approach to drive a deep understanding of fast changing business. • Build large-scale batch and real-time data pipelines with data processing frameworks in AWS, Azure or GCP cloud platform. • Moving data from on-prem to cloud and cloud data conversions.
🎯 Requirements
• Experience in data engineering with an emphasis on data analytics and reporting • Exposure to the AWS Cloud Platform • Experience in SQL, data transformations, and troubleshooting across at least one database Platform (Redshift, Amazon RDS, Cassandra, Snowflake, PostgreSQL, Databricks, etc.) • Experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines • Experience in a scripting language such as Python • Experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.
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