Data engineer

We are seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have a strong background in data modeling, ETL processes, and cloud-based data solutions. You will work closely with data scientists, analysts, and software engineers to ensure efficient data processing and accessibility for business insights.

This is a 100% remote position, so the ability to work independently while collaborating with a distributed team is essential.

Key Responsibilities:

• Design, develop, and maintain data pipelines to support analytics and business intelligence needs.

• Build and optimize data architectures, databases, and data warehouses.

• Implement and manage ETL processes to ingest and transform data from multiple sources.

• Work with structured and unstructured data to ensure data integrity and quality.

• Collaborate with stakeholders to understand data requirements and provide scalable solutions.

• Ensure security, compliance, and governance of data platforms.

• Optimize query performance and data storage solutions.

• Troubleshoot and resolve data-related issues in production environments.

Requirements:

• Education: Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field.

• Experience: 1+ year of experience in data engineering, database management, or related fields.

• Technical Skills:

  • Proficiency in SQL and experience with relational databases (PostgreSQL, MySQL, or SQL Server).

  • Strong knowledge of Python, Java, or Scala for data processing.

  • Experience with cloud platforms such as AWS (Redshift, S3, Glue), Azure, or Google Cloud.

  • Expertise in ETL tools (Apache Airflow, dbt, Talend, or similar).

  • Familiarity with big data technologies (Spark, Hadoop, Kafka).

  • Experience working with APIs and data integration.

  • Knowledge of data warehousing and data modeling best practices.

• Soft Skills:

  • Strong problem-solving and analytical skills.

  • Excellent communication and teamwork abilities.

  • Ability to work independently in a remote setting and manage multiple priorities.

Preferred Qualifications:

• Experience with NoSQL databases (MongoDB, DynamoDB, Cassandra).

• Knowledge of CI/CD pipelines for data workflows.

• Exposure to machine learning pipelines and MLOps is a plus.

• Certifications in cloud data platforms (AWS Certified Data Analytics, Google Cloud Professional Data Engineer, etc.).

Benefits:

• Competitive salary based on experience.

• Fully remote work with flexible scheduling.

• Health, dental, and vision insurance.

• Paid time off and company holidays.

• Learning and development opportunities.