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 crossfunctional teams to identify and address data needs.
- Ensure technology solutions support the needs of the customer and/or organization.
- Define and document technical requirements.
Qualifications :
- Strong PL/SQL SQL development skills
- Proficient in multiple languages used in data engineering such as Python Java.
- Minimum 35 years of experience in Data engineering working with Oracle and MS SQL.
- Experience with data warehousing concepts and technologies including cloudbased 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 problemsolving abilities.
- Great work ethics.
- Bachelors degree in Computer Science or Computer Engineering.
Remote Work :
Yes
Employment Type :
Fulltime