Full-Time Data Engineer (Remote)

As Data Engineer, you will have following key accountabilities:

• Design, implement and maintain scalable pipelines and architecture to collect, process, and store data from various sources.
• Unit test and document solutions that meet product quality standards prior to release to QA.
• Identify and resolve performance bottlenecks in pipelines due to data, queries, and processing workflows to ensure efficient and timely data delivery.
• Implement data quality checks and validations processes to ensure accuracy, completeness, and consistency of data delivery.
• Work with Data Architect and implement best practices for data governance, quality, and security.
• Collaborate with cross-functional teams to identify and address data needs.
• Ensure technology solutions support the needs of the customer and/or organization.
• Define and document technical requirements.

Skills, Qualifications, and Experience:

• Strong PL/SQL, SQL development skills
• Proficient in multiple languages used in data engineering such as Python, Java
• Minimum 3-5 years of experience in Data engineering working with Oracle and MS SQL
• Experience with data warehousing concepts and technologies including cloud-based services (e.g., Snowflake)
• Experience with cloud platforms like Azure and knowledge of infrastructure
• Experience with data orchestration tools (e.g., Azure Data Factory, DataBricks workflows)
• Understanding of data privacy regulations and best practices
• Experience working with remote teams
• Experience working on a team with a CI/CD process
• Familiarity using tools like Git, Jira
• Great problem-solving abilities
• Great work ethics
• Bachelor's degree in Computer Science or Computer Engineering

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