Join Kloud9 to design and build scalable data solutions that power advanced analytics products. We are looking for a passionate engineer to implement automated workflows and optimize large-scale data architecture in a fast-paced Agile environment.
Roles & Responsibilities:
Design and build reusable components and frameworks to support complex analytics products. Collaborate with Business and Technology stakeholders to implement high-impact product features. Clean, prepare, and optimize massive datasets for seamless ingestion and consumption. Implement automated workflows and routines using advanced scheduling tools like Airflow. Perform root cause analysis to troubleshoot data issues and ensure high data quality. Analyze and profile data to design scalable solutions while maintaining industry standards. Participate in design reviews and code testing within continuous integration (CI/CD) frameworks.
Requirements:
Minimum 5+ years of experience in developing Data & Analytic solutions. Strong expertise in building Data Lake solutions using AWS, EMR, S3, Hive, and Spark. Proficiency in relational SQL and scripting languages like Python or Shell. Solid understanding of data structures, algorithms, and technical design patterns. Experience with source control tools (GitHub) and workflow schedulers (Airflow). Bachelor s Degree in Computer Science or a related technical field. Strong problem-solving mindset and ability to communicate effectively with Agile teams.
Perks & Benefits:
Robust compensation package aligned with industry standards. Forward-looking opportunities for professional growth in emerging tech fields. Work in a diverse, equal-opportunity environment that values innovation. Exposure to global projects and cutting-edge cloud technologies.
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