Data Engineer - JD Template

Hireforce - JD Template - Data Engineer
Hireforce - JD Template - Data Engineer

We are seeking a talented and motivated Data Engineer to join our data team. This position will be responsible for designing, developing, and maintaining our data architecture, pipelines, and infrastructure. The ideal candidate is a problem solver who is passionate about data, has a strong technical background, and is capable of working in a dynamic and collaborative environment.

Key Duties and Responsibilities:

  • Develop and maintain ETL processes to transform and load data into our data warehouse.
  • Design, implement, and manage data storage solutions, including data warehouses and data lakes.
  • Develop and maintain data models and schemas to support business requirements.
  • Optimize data structures for efficient querying and analytics.
  • Identify and resolve bottlenecks and issues in data processing.
  • Manage metadata to provide context and lineage information for datasets.
  • Implement data security measures to protect sensitive information.
  • Ensure data compliance with relevant regulations and policies.

Skills:

  • Operating System
  • SQL
  • Coding
  • Machine Learning
  • Data Architecture
  • Data Warehousing
  • Problem-solving
  • Apache Hadoop-Based Analytics

Requirements:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Proven experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL and experience with database systems (e.g., PostgreSQL, MySQL).
  • Hands-on experience with ETL tools and frameworks (e.g., Apache Spark, Apache NiFi).
  • Proficiency in at least one programming language (e.g., Python, Java).
  • Familiarity with data warehouse solutions (e.g., Amazon Redshift, Google BigQuery).
  • Knowledge of data modeling concepts and techniques.
  • Experience with version control systems (e.g., Git) and collaboration tools.
  • Excellent problem-solving and troubleshooting skills.
  • Strong communication and teamwork abilities.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform).

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