Data Engineer

We are seeking a skilled and experienced Data Engineer to join our dynamic team. In this role, you will be responsible for designing, building, and maintaining our data infrastructure to support data-driven decision making across the organization.

Responsibilities:

• Design, develop, and maintain scalable data pipelines for efficient data extraction, transformation, and loading (ETL) processes
• Architect and optimize data storage solutions, including data warehouses and data lakes
• Ensure data quality and integrity through data validation, cleansing, and error handling
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver relevant datasets
• Implement data security measures and access controls to protect sensitive information
• Automate and improve data processes and workflows for scalability and efficiency
• Monitor data infrastructure for performance and reliability, addressing issues promptly
• Stay current with industry trends and emerging technologies in data engineering
• Document data pipelines, processes, and best practices for knowledge sharing
• Participate in data governance and compliance efforts to meet regulatory requirements
• Provide technical support and mentoring to junior data engineers
• Continuously optimize data architecture to support the company's evolving data needs

Requirements

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree is a plus
• 3+ years of experience as a Data Engineer or in a similar role
• Strong programming skills in languages such as Python, Java, or Scala
• Expertise in SQL and experience with both relational and NoSQL databases
• Proficiency in data modeling and database design
• Experience with big data technologies like Hadoop, Spark, and Hive
• Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud)
• Knowledge of data warehousing concepts and ETL tools
• Experience with version control systems (e.g., Git)
• Strong problem-solving and analytical skills
• Excellent communication and teamwork abilities
  

Preferred Qualifications:

• Experience with stream processing technologies (e.g., Kafka, Flink)
• Knowledge of machine learning and data visualization tools
• Familiarity with Agile development methodologies
• Data engineering certification (e.g., IBM Certified Data Engineer)
• Contributions to open-source projects

Benefits

Benefits:

• Competitive salary commensurate with experience
• Health, dental, and vision insurance
• 401(k) retirement plan with company match
• Flexible work arrangements
• Professional development opportunities
• Exciting projects working with cutting-edge data technologies