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(AD-911) | (Vhm39) | Data Engineer Aws
Responder al anuncioWhat makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating many opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative, and successful. Moreover, this is your chance to be part of the success story: we are looking for a Senior Data Engineer AWS to join our AIA Team.
Key Responsibilities:
As a Data Engineer, your responsibilities include:
- Making requirement analysis, understanding the functional aspects of the clients' requirements, and efficient task execution.
- Raising clarifications/issues/concerns regarding work output to the lead on time.
- Managing adherence to schedule/timelines, maintaining effective working relationships with team members and supervisors, and adhering to organization policies and procedures.
- Participating in calls/status reporting and daily standup calls for the project.
- Evaluating the complexity and feasibility of machine learning solutions based on the state of the art, industry standards, and market trends.
- Framing business needs as machine learning problems and selecting the evaluation metrics that are most relevant to the business.
- Identifying, exploring, and preparing large-scale datasets, including structured, image, and text data.
- Designing, building, and evaluating machine learning models for a wide range of use cases, including both deep learning and classical methods.
- Communicating with stakeholders and other teams.
- Providing technical coordination and mentoring of a team of data scientists.
Essential Skills:
- 2-4 years professional experience as Data Engineer.
- Professional experience in AWS (Lambda, Fargate, ECS, S3, SNS, GLUE, ATHENA, RDS, IAM, CLOUDFORMATION).
- Version control (GIT, CI/CD).
- Python 3.
- Spark, Libraries Pandas and NumPy.
- Fluent in Spanish and English (B2).
Nice to Have Skills:
- AWS Certification.
- Agile Methodologies.
- Knowledge/Experience in Query Builders like PyPika.
- Knowledge on designing and defining, optimization, normalization of relational databases.
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