Databricks Data Analytics

4 weeks ago

Metro Manila Philippines Risewave Consulting, Inc. Full time

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform, and load) processes to migrate and deploy data across systems. Summary As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with team members to address challenges and enhance data workflows, contributing to the overall efficiency of data management within the organization. Responsibilities Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Collaborate with cross‑functional international teams to gather requirements and translate them into technical specifications. Monitor and optimize data pipelines for performance and reliability. Document data processes and workflows to ensure clarity and knowledge sharing within the team. Stay updated with industry trends and best practices in data engineering to continuously improve processes. Professional & Technical Skills Good working proficiency in Databricks or Databricks Unified Platform. Has good understanding of data modeling and database design principles. Experience with ETL tools and data integration techniques. Familiarity with cloud platforms and services related to data storage and processing like Azure Microsoft, AWS, Google Cloud. Additional Good To Have Skills: Experience with Apache Spark and data lake architectures. Additional Information The candidate should have minimum 1 year of experience in Databricks or Databricks Unified Data Analytics Platform. Functional users are also welcome to apply. Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology Industries IT Services and IT Consulting, Information Services, and Data Infrastructure and Analytics #J-18808-Ljbffr

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