Sr. Data Engineer

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Written by AI from the job title and company, not by Offered.ai, so some details may not match this job. The employer's own page has the real description.

Job Overview

Offered.ai is seeking a highly skilled Senior Data Engineer to join our dynamic team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support the data analytics initiatives of the organization. You will work closely with data scientists, analysts, and other stakeholders to ensure the accessibility and reliability of our data assets, enabling informed decision-making across various departments. Additionally, you will play a critical role in optimizing data storage and retrieval mechanisms, ensuring total compliance with data security and privacy standards.

Job Responsibilities

• Design, develop, and maintain robust data pipelines and ETL processes.
• Implement data architecture that supports data processing, storage, and retrieval solutions.
• Collaborate with data scientists and analysts to understand data needs and enhance analytic capabilities.
• Monitor and optimize data workflows to ensure efficiency and scalability.
• Develop and enforce data quality and governance processes.
• Integrate data from various sources, ensuring high standards for data integrity and consistency.
• Stay updated on the latest trends and technologies in data engineering and big data analytics.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 5+ years of experience in data engineering or a related field.
• Proficient in programming languages such as Python, Java, or Scala.
• Experience with big data technologies including Hadoop, Spark, and Kafka.
• Strong knowledge of SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and their data services.
• Understanding of data modeling, data warehousing concepts, and data architecture best practices.
• Excellent problem-solving skills and the ability to work collaboratively in teams.

Technologies & Tools

As a Senior Data Engineer at Offered.ai, you will primarily utilize modern technologies and tools such as Apache Hadoop for distributed storage, Apache Spark for fast data processing, and Apache Kafka for real-time data streaming. You will also work with cloud services like Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, focusing on their data management services. Other tools may include SQL-based database systems for structured data management, and various ETL tools to facilitate efficient data workflows.

Ideal Candidates

The ideal candidate for the Senior Data Engineer position will possess a strong analytical mindset coupled with a deep passion for data management and analytics. They will be detail-oriented, proactive, and able to thrive in a fast-paced, collaborative environment. Excellent communication skills are essential to effectively translate technical concepts to non-technical stakeholders. Furthermore, a commitment to continuous learning and adaptability to rapidly evolving technologies will also be key characteristics of success in this role.