Remote Data Engineer

Description:

• 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.
• You will design, develop, and maintain scalable data pipelines for efficient data extraction, transformation, and loading (ETL) processes.
• You will architect and optimize data storage solutions, including data warehouses and data lakes.
• Ensuring data quality and integrity through data validation, cleansing, and error handling is a key responsibility.
• You will collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver relevant datasets.
• Implementing data security measures and access controls to protect sensitive information is essential.
• You will automate and improve data processes and workflows for scalability and efficiency.
• Monitoring data infrastructure for performance and reliability, addressing issues promptly, is part of the role.
• Staying current with industry trends and emerging technologies in data engineering is expected.
• You will document data pipelines, processes, and best practices for knowledge sharing.
• Participating in data governance and compliance efforts to meet regulatory requirements is required.
• Providing technical support and mentoring to junior data engineers is part of your responsibilities.
• You will continuously optimize data architecture to support the company's evolving data needs.

Requirements:

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

Benefits:

• You will receive a competitive salary commensurate with experience.
• Health, dental, and vision insurance will be provided.
• A 401(k) retirement plan with company match is included.
• Flexible work arrangements are available.
• Professional development opportunities will be offered.
• You will work on exciting projects with cutting-edge data technologies.