Junior Data Engineer
Job Location:
Mountain View, CA - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
At Sequoia Connect we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent connecting human potential with complex industrial execution. By joining our inner circle you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your Human OS and accelerating your growth through world-class high-impact projects.
We are currently partnering with a rapidly growing automation-led powerhouse that serves 31 Fortune 500 companies across the financial healthcare and manufacturing sectors. With a global workforce of over 32000 employees and a presence in 28 countries our client is a titan of digital transformation. Their Automate Everything Cloudify Everything strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.
This is your chance to thrive in a Customer Success First and Always environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic forward-thinking workplace where your growth is the priority this is where you belong.
We are currently searching for a Junior Data Engineer:
The Challenge (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.
Your Profile (Requirements)
- 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.
Desired
- 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).
Languages
- Advanced Oral English: For seamless collaboration with global teams.
- Advanced Spanish.
Special Notes
- Our Client is seeking candidates focused on foundational skill-building in a dynamic cloud environment.
Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
- Remote
If you meet these qualifications and are pursuing new challenges start your application on our website to join an award-winning employer. Explore all our job openings Sequoia Careers Page: Requirements:
Phyton SQL PySpark AWS Glue ETL
