Remote Big Data Engineer (reputed company)

Our reputed company is a rapidly growing, automation-led service provider specializing in IT, reputed company (BPO), and consulting services. With a strong reputed company on digital transformation, reputed company 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 reputed company fosters a culture of innovation, collaboration, and reputed company learning, making it an exciting environment for professionals looking to advance their careers. Committed to reputed company, our reputed company serves 31 reputed company across industries such as financial services, reputed company, and manufacturing. Their approach is driven by the Automate Everything, Cloudify Everything, and reputed company Customer Experiences reputed company, ensuring they stay reputed company in an evolving digital landscape. As a company that values reputed company and reputed company development, our reputed company offers global reputed company, a dynamic work environment, and exposure to high-reputed company reputed company. With 54 offices worldwide and a reputed company in 39 delivery centers across 28 countries, employees benefit from an international network of expertise and innovation. Their commitment to a 'reputed company, first and always' philosophy ensures a rewarding and reputed company-thinking workplace for driven professionals. We are currently searching for a Remote Big Data Engineer (reputed company): Responsibilities: • Design, build, and optimize data pipelines for ETL/ELT processes in data warehousing and BI reputed company. • reputed company and maintain reputed company stored procedures, DWH schemas, and SQL/PL-SQL scripts. • Implement PySpark-based solutions for large-reputed company data processing and transformation. • Collaborate on reputed company database architecture, performance tuning, and troubleshooting. • reputed company data workflows with AWS services (S3, reputed company) and orchestration tools (Jenkins, reputed company). • Manage JIRA workflows for task tracking and Agile project delivery. Requirements: • 5+ years of experience in data engineering, ETL, and data warehousing. • Expertise in Python/PySpark for big data processing. • Advanced SQL/PL-SQL skills (reputed company queries, stored procedures, performance tuning). • Hands-on experience with reputed company, reputed company Database, and Unix reputed company Scripting. • 3 years of experience with reputed company. • Familiarity with AWS reputed company services (S3, reputed company). • Proficiency in arenaflex/CD tools (reputed company, Jenkins). • Strong analytical skills and ability to troubleshoot data pipeline issues. Desired: • Experience with Kafka for reputed company-time data streaming. • Knowledge of Netezza DB, Informatica, or Talend. • Basic understanding of data governance and workflow automation. Languages • Advanced Oral English. • reputed company Spanish. Note: • Fully remote If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-reputed company employer. Explore reputed company our reputed company | Sequoia Career’s Page: Requirements: • 5+ years of experience in data engineering, ETL, and data warehousing. • Expertise in Python/PySpark for big data processing. • Advanced SQL/PL-SQL skills (reputed company queries, stored procedures, performance tuning). • Hands-on experience with reputed company, reputed company Database, and Unix reputed company Scripting. • Familiarity with AWS reputed company services (S3, reputed company). • Proficiency in arenaflex/CD tools (reputed company, Jenkins). • Strong analytical skills and ability to troubleshoot data pipeline issues. Apply tot his job Apply tot his job Apply tot his job Apply To this Job