Senior Data Engineer - Remote | WFH

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Get It Recruit - Information Technology, so some details may not match this job. The employer's own page has the real description.

Position Overview

The Senior Data Engineer at Get It Recruit - Information Technology will be responsible for designing, building, and maintaining scalable data architectures and pipelines that effectively transform raw data into actionable insights. The ideal candidate will collaborate with cross-functional teams to ensure data accessibility and reliability, supporting the organization's goals through advanced data modeling and analytics. This role requires a strong focus on data quality, performance optimization, and the ability to work in a dynamic remote work environment.

Job Responsibilities

• Design, develop, and implement data pipelines and ETL processes to facilitate data integration and transformation.
• Create data models and architecture to support a range of analytical needs.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and provide timely solutions.
• Monitor and optimize the performance of data systems, ensuring high availability and scalability.
• Identify and resolve data quality issues, implementing necessary corrective measures.
• Maintain and enhance existing data solutions, ensuring compliance with industry standards and best practices.
• Document processes, data flows, and architecture guidelines to support maintenance and future development.
• Stay current with emerging technologies and industry trends to continuously improve data engineering practices.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• 5+ years of experience in data engineering or related roles.
• Strong proficiency in SQL and experience with relational databases such as PostgreSQL or MySQL.
• Proficiency in data processing frameworks such as Apache Spark, Hadoop, or similar technologies.
• Experience with cloud services such as AWS, Google Cloud Platform, or Azure.
• Familiarity with data warehousing solutions (e.g., Redshift, Snowflake) and data modeling techniques.
• Knowledge of programming languages such as Python, Java, or Scala.
• Excellent problem-solving and analytical skills with attention to detail.
• Strong communication skills to collaborate effectively with cross-functional teams.

Technologies & Tools

This position will require the use of a variety of technologies and tools, including but not limited to relational and NoSQL databases, ETL tools, cloud services such as AWS or GCP, as well as data processing frameworks like Apache Spark. Familiarity with container orchestration tools like Docker or Kubernetes will be an asset. Additionally, proficiency in data visualization tools (e.g., Tableau, Power BI) will enhance capabilities in delivering actionable insights.

Ideal Candidates

Ideal candidates for this position will possess a strong combination of technical expertise and interpersonal skills. They will be innovative thinkers with a passion for data and technology, while also showcasing a collaborative spirit to work within diverse teams. The ability to adapt to changing priorities and to communicate complex technical concepts in understandable terms is essential. Moreover, candidates should demonstrate a commitment to continuous learning and improvement, embracing emerging trends and methodologies in the field of data engineering.