LatAm Data Engineer
LatAm Data Engineer
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Job Description
Position: Data Engineer
Working Hours: MF 9:00 AM 5:00 PM CST
Salary Range: $3000$4000 USD per month
About the role
You will be responsible for designing building and maintaining scalable data
pipelines and infrastructure to support data science and ytics initiatives. Your role will also involve implementing best practices to safeguard data. You will work closely with data scientists ysts and other stakeholders to ensure data is accessible reliable and structured for complex yses and machine learning models.
Responsibilities:
- Data Pipeline Development: Design develop and maintain scalable data pipelines ETL (Extract Transform Load) processes and architecture to gather data from various sources and integrate it into AWSbased data warehouses or data lakes.
- Data Warehousing: Build and optimize data storage/management solutions (leveraging services such as S3 Redshift EMR and Glue for big data processing) to ensure efficient querying and data retrieval.
- Data Quality Management: Implement data quality checks validation and cleansing processes to ensure data integrity and reliability.
- Collaboration with Data Scientists: Work closely with data scientists to understand their data requirements and provide them with clean wellstructured data for ysis and modeling.
- Performance Optimization: Optimize data processing workflows and queries to improve performance and reduce latency in data retrieval and ysis.
- Doentation: Doent data engineering processes data models and system architecture to ensure clarity and maintainability.
- Monitoring and Maintenance: Monitor data pipelines and systems for performance issues and trouble and resolve any datarelated problems that arise.
- Security and Compliance: Ensure that data handling practices adhere to security and compliance standards including data privacy regulations.
- Tool and Technology Evaluation: Stay updated on emerging data technologies and tools and recommend improvements or new solutions to enhance data engineering capabilities.
Requirements:
- Bachelor’s degree in Computer Science Engineering Data Science or a related field. An advanced degree is a plus.
- 35 years of proven experience as a Data Engineer or in a similar role with handson experience in building and managing data pipelines and data storage solutions
- Technical Ss:
- Strong proficiency in SQL and experience with relational databases (e.g. MySQL PostgreSQL SQL Server).
- Experience with big data technologies such as Hadoop Spark or Kafka.
- Familiarity with cloud platforms (e.g. AWS preferred) and their data services (S3 Redshift EMR Glue Sagemaker).
- Strong proficiency in programming languages such as Python Pyspark Java or Scala.
- Experience with data warehousing solutions and data modeling.
- Experience with machine learning tools and libraries.
- Certifications: Relevant certifications in data engineering cloud platforms or big data technologies are a plus.
Employment Type
Full Time
