Note: The job is a remote job and is open to candidates in USA. Sequoia Connect is a talent-first technology ecosystem connecting professionals with complex technology and industrial execution projects. The company is seeking a Junior Data Engineer to build and maintain cloud-based ETL pipelines, support AWS data workflows, process data from APIs and JSON payloads, and collaborate with engineering, analytics, and business teams.
Responsibilities
- Assist in building and maintaining ETL pipelines using Python and PySpark
- Support the development of workflows utilizing AWS Glue, Lambda, and Step Functions
- Work extensively with cloud data storage platforms, including S3, Redshift, RDS, and Oracle
- Write complex SQL queries for data extraction, transformation, validation, and reporting
- Help implement basic monitoring, logging, and error handling for data pipelines
- Support the ingestion and processing of data from APIs and JSON payloads
- Collaborate with software engineers, data analysts, and business stakeholders to understand requirements
- Contribute to code management, technical documentation, and deployment support activities
Skills
- * Degree holders for the visa application process
- * 0 to 4 years of software development or data engineering experience across relevant cloud platforms
- * Good knowledge of Python and SQL
- * Solid understanding of AWS services, specifically S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions
- * Strong grasp of ETL concepts and data processing fundamentals
- * Familiarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production
- * Familiarity with PySpark, AWS managed services, data engineering best practices, and code optimization
- * High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery
- * Technologist DNA: A deep understanding of the difference between "coding" and "engineering."
- * Advanced Oral English: For seamless collaboration with global teams
- * Advanced Spanish
- * 0-4 years of software development experience across the appropriate platform
- * Good knowledge on Python and SQL
- * Good understanding to AWS services such as S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions
- * Good understanding of ETL concepts and data processing fundamentals
- * Familiarity with GitLab/Terraform and SDLC from development to production
- * Familiarity to PySpark, AWS managed services, data engineering best practices, and code optimization
- * Good analytical, problem-solving, and communication skills
- * Exposure to PySpark, Athena, CloudWatch, SNS, and SQS
- * Internship, project, or academic experience specifically in cloud computing, analytics, or data engineering
- * Familiarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot)
Benefits
- Remote work arrangement
- Continuous learning and growth through world-class, high-impact projects
- Exposure to complex engineering challenges across an international network of expertise
- Visa application process support for degree holders
Company Overview