Senior Data Engineer

Architect and develop robust data integration (ETL) pipelines using vast technologies Build and deliver high-quality data architecture to support the needs of business analysts, data scientists, and external customers Contribute to the implementation of machine learning techniques into technology architecture Work on improvements for various services such as reporting, analysis, automation, etc. Mentor and provide technical leadership to the data engineering team Job Requirements: Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience) At least 3-5+ years of relevant data engineering experience 3+ years working as an ML Infrastructure or data engineer using Python or similar languages Prolific experience working with SQL, Cloud, and ETL Familiarity with Spark and AWS is nice to have Sound proficiency of Big data ecosystems and other cloud-based technologies Track record of leveraging ML in applications to solve real-life issues Proficient understanding of data infrastructure and back-end systems Demonstrated experience developing ETL pipelines and solutions Strong communication skills to dissect complex issues and effective problem-solving aptitude Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate read more Key Skills AutomationBackendAnalyticalArtificial IntelligenceMachine learningSQLPythonData architecture