Senior Data Engineer
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Job Description
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About the job
Responsible for designing, implementing, and managing the data architecture, infrastructure, and tools necessary for collecting, storing, and analyzing large volumes of data. in addition collaborate with cross-functional teams to understand data requirements, develop robust data pipelines, and ensure the integrity and availability of our data assets.
Specific Responsibilities
In addition to following AiElements policies and procedures, Specific Responsibilities include, but are not limited to:
- Design and implement scalable, high-performance data architectures to support business intelligence, and analytics initiatives.
- Collaborate with data analysts to understand data requirements and translate them into technical solutions.
- Develop and maintain efficient, reliable, and scalable data pipelines for ingesting, processing, and transforming large volumes of data from various sources.
- Implement data quality and validation processes to ensure accuracy and consistency.
- Work with cloud-based services and on-premises systems to create and maintain a robust data ecosystem.
- Write and maintain code in languages such as Python for data processing, ETL (Extract, Transform, Load), and data integration.
- Create and maintain comprehensive documentation for data engineering processes, systems, and code
- Write complex procedure
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knowledge and skills:
- 5+ years of related experience.
- Bachelor's or Master's degree in Computer Science, or a related field.
- Proven experience as a Data Engineer, with a focus on designing and implementing data solutions (Data Visualization).
- Strong proficiency in Sunapys, SQL, Stored Procedure, PG admin, and data warehousing.
- Excellent problem-solving and communication skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Certification in data engineering or related field.
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Language Skills: Excellent communication skills (verbal and written) in English.
Employment Type
Full Time
