04 ene
Encora
Tláhuac
**Important Information**
- Experience: 4+ years
- Job Mode: Full-time
- Work Mode: Remote
**Job Summary**
**Responsibilities**:
- Develop, maintain, and optimize ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes.
- Design and implement data pipelines using Python, PySpark, and SparkSQL, ensuring scalability, reliability, and efficiency.
- Utilize ETL concepts in AWS to build robust and scalable data solutions.
- Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical solutions.
- Perform data modeling, data analysis, and provide insights using various tools and techniques.
**Qualifications and Skills**
- Bachelor's degree in Computer Science, Engineering, or related field.
- Minimum of 6 years of experience in ETL development, with a strong understanding of ETL concepts and methodologies.
- Proficiency in building data pipelines using Python, PySpark, and SparkSQL.
- Experience with ETL concepts in AWS, Microservices and Lambdas
- Knowledge of data modeling techniques, data analysis, and providing insights using tools such as SQL, Tableau, or Power BI.
- Strong problem-solving skills and attention to detail, with the ability to troubleshoot and debug complex ETL processes.
- Ability to work independently and collaboratively in a fast-paced environment.
- Excellent communication skills, with the ability to articulate technical concepts to non-technical stakeholders.
**About Encora**
Encora is the preferred digital engineering and modernization partner of some of the world's leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide,
Encora's technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
**At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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