Our client is a rapidly growing, automation-led service provider specializing in IT, business process outsourcing (BPO), and consulting services. With a strong focus on digital transformation, cloud solutions, and AI-driven automation, they help businesses optimize operations and enhance customer experiences. Backed by a global workforce of over 32,000 employees, our client fosters a culture of innovation, collaboration, and continuous learning, making it an exciting environment for professionals looking to advance their careers.

Committed to excellence, our client serves 31 Fortune 500 companies across industries such as financial services, healthcare, and manufacturing. Their approach is driven by the Automate Everything, Cloudify Everything, and Transform Customer Experiences strategy, ensuring they stay ahead in an evolving digital landscape.

As a company that values growth and professional development, our client offers global career opportunities, a dynamic work environment, and exposure to high-impact projects. With 54 offices worldwide and a presence in 39 delivery centers across 28 countries, employees benefit from an international network of expertise and innovation. Their commitment to a 'customer success, first and always' philosophy ensures a rewarding and forward-thinking workplace for driven professionals.

We are currently searching for a Big Data Engineer:

Responsibilities:

• Design, build, and optimize data pipelinesfor ETL/ELT processes in data warehousing and BI projects.
• Develop and maintain complex stored procedures, DWH schemas, and SQL/PL-SQL scripts.
• Implement PySpark-based solutionsfor large-scale data processing and transformation.
• Collaborate onSnowflake database architecture, performance tuning, and troubleshooting.
• Integrate data workflows withAWS services (S3, Lambda)and orchestration tools (Jenkins, GitHub).
• Manage JIRA workflowsfor task tracking and Agile project delivery.

Requirements:

• 5+ years of experiencein data engineering, ETL, and data warehousing.
• Expertise in Python/PySparkfor big data processing.
• Advanced SQL/PL-SQL skills(complex queries, stored procedures, performance tuning).
• Hands-on experience withSnowflake,Oracle Database, and Unix Shell Scripting.
• Familiarity withAWS cloud services(S3, Lambda).
• Proficiency inCI/CD tools(GitHub, Jenkins).
• Strong analytical skills and ability to troubleshoot data pipeline issues.

Desired:

• Experience withKafkafor real-time data streaming.
• Knowledge ofNetezza DB,Informatica, orTalend.
• Basic understanding ofdata governanceand workflow automation.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Fully 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 Career’s Page: *