Hcmc - Data Engineer (Junior/middle)
7 months ago
**Who are we?**:
**Amaris Consulting** is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,500 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
**Brief Call**: Our process typically begins with a brief virtual/phone conversation to get to know you The objective? Learn about you, understand your motivations, and make sure we have the right job for you
**Interviews** (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities
**Case study**: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
We look forward to meeting you
**Job description**:
**About the job**
- Design, develop, and maintain an abstract ETL platform for efficient data transfer between Snowflake and Oracle databases.
- Monitor and optimize ETL processes, identifying and addressing performance bottlenecks to improve efficiency and reliability.
- Collaborate with Data Analysts, Data Scientists, Financial Ops, and other stakeholders to define and implement data integration requirements.
- Implement data validation and cleansing processes to maintain high data accuracy and quality standards.
- Plan and execute data migration activities, ensuring data consistency and minimizing business disruption.
- Stay updated with emerging technologies and techniques in the data engineering field to enhance team capabilities.
- Work both independently and collaboratively as part of a team to achieve project goals.
**About you**
- Bachelor’s/College’s degree in Information Technology or similar technical fields.
- At least 2-3 years of experience in data engineering with a focus on ETL development and infrastructure.
- Proficiency in SQL for data manipulation and extraction.
- Strong understanding of ETL concepts and ability to design and develop complex data integration processes.
- Experience with Apache Airflow is a plus.
- Familiarity with data warehousing and business intelligence (BI) solutions.
- Experience with Snowflake and/or Oracle databases is a plus.
- Familiarity with at least one cloud computing platform such as AWS (preferred), Azure, or Google Cloud.
- Excellent problem-solving and analytical skills.
- Good verbal English communication skills.
- Proven ability to work both independently and as part of a collaborative team.
**_Equal Opportunity_
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