Data Engineer
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1 Vacancy
Job Description
We are looking for a highly skilled and motivated Data Engineer to join our innovative Data Engineering Team. If you thrive in building scalable data solutions leveraging advanced technologies and driving impactful datadriven decisionmaking this is your opportunity to make a significant impact.
Heres what youll be doing:
- Collaborate with analysts to translate business challenges into clear technical requirements and datadriven solutions.
- Develop and optimize scalable data pipelines using SQL Python and Pandas to integrate data from multiple sources.
- Design and implement data models and workflows that support complex business logic.
- Write clean reusable efficient and scalable code while applying design patterns to ensure maintainability and performance.
- Ensure data integrity quality and security by maintaining highperformance governance standards.
- Utilize AIdriven solutions to enhance data processing and analytical capabilities.
- Work with IT DevOps and Security teams to enable secure and seamless data infrastructure deployment.
- Identify and act on opportunities to improve data processes driving product and business success.
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Qualifications :
- Bachelors degree in engineering Computer Science or a related field.
- 5 years of handson experience in SQL.
- 3 years of handson Python/Pandas.
- 3 years of experience developing data pipelines and implementing data modeling techniques and concepts such as Facts Dimensions Partitions etc.
- Snowflake or dbt handson experience (a musthave).
- Strong problemsolving skills with the ability to work independently document processes effectively and communicate complex technical concepts clearly.
- Work in a global team with strong English proficiency.
Preferred Skills:
- Experience with: Snowflake Rivery AWS salesforce. Databricks Iceberg and dbt.
- Work in an agile methodology.
- Experience developing in business domains such as Finance sales R&D HR etc.
- Experience & knowledge in cybersecurity data domains is a plus.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
