Full Stack Data Engineer

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November 13

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rockITdata

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Artificial Intelligence • Consulting • Technology

rockITdata is a consulting firm that specializes in providing strategic solutions and support in the areas of AI, Data & Analytics, IT Transformation, and Management Consulting. The company focuses on leveraging cloud-based and AI-driven technologies to transform customer experiences and streamline operations. Their expertise lies in serving both commercial and public sector industries, offering bespoke solutions that integrate dual-use technologies to drive business growth and enhance customer engagement. rockITdata is committed to delivering innovative solutions that empower teams and optimize customer relationships through advanced technology partnerships.

11 - 50 employees

🤖 Artificial Intelligence

📋 Description

• Design and implement scalable data ingestion pipelines to efficiently collect and process data from various sources. • Integrate data from different systems and platforms to create unified datasets for analysis and reporting. • Develop and maintain data storage solutions such as data lakes, data warehouses, and NoSQL databases. • Optimize data storage and retrieval mechanisms for performance, scalability, and cost-effectiveness. • Implement data processing workflows for cleaning, transforming, and enriching raw data into usable formats. • Apply data transformation techniques such as ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes. • Build software applications and APIs to expose data services and functionality to other systems and applications. • Establish monitoring and alerting mechanisms to track the health and performance of data pipelines and systems. • Document data engineering processes, architectures, and solutions to facilitate knowledge sharing and collaboration. • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand requirements and deliver solutions.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • Proficiency in programming languages such as Python, Java, or Scala for data engineering and software development. • Strong understanding of database concepts, data modeling techniques, and SQL programming. • Hands-on experience with cloud platforms such as AWS, Azure, or GCP for building and deploying data solutions. • Knowledge of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). • Familiarity with version control systems (e.g., Git) and software development best practices (e.g., Agile, CI/CD).

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development