Rapinno Tech Solutions GmbH

1 Job

24 Employees

About the Company

Rapinno Tech Solutions is a global provider in software innovation, delivering cutting-edge technology solutions with speed and precision. Headquartered in Germany, we operate across key international markets with offices in the UK, USA, and India (Hyderabad, Chennai, and Madurai). Our expertise empowers businesses to stay ahead in a rapidly evolving digital landscape.

Our tagline, “Rapid Technology Innovations Delivered,” reflects our mission to provide organizations across industries with superior IT solutions. We empower our clients with a time advantage, cost advantage, quality advantage, and innovation advantage, ensuring they stay ahead in a competitive landscape.

We established in the year 2019, We’re rapidly expanding Technology Services centres in Europe, UK, USA, Middle East and India. Our commitment to innovation drives our ability to deliver tailored solutions that empower businesses to achieve greater efficiency and scalability.

We deliver cutting-edge AI-powered solutions, SAP services, and ServiceNow implementations, powered by advanced cloud technologies. Through our Adaptive Sourcing approach, we provide global recruitment services tailored to your business needs. Our expertise drives digital transformation, enhances operational excellence, and fuels sustainable growth for organizations worldwide.

Listed Jobs

Company Name: Rapinno Tech Solutions GmbH
Job Title: Data Engineer
Job Description: Job Title: Data Engineer Role Summary: Build, maintain, and optimize large-scale data pipelines, warehouses, and real‑time services using Spark, Kafka, Flink, and Hadoop ecosystems on cloud platforms. Expectations: Deliver high‑performance, reliable data solutions; collaborate with data science teams; adhere to best practices in data governance and security; continuously improve data processing workflows. Key Responsibilities: - Design and implement data models and ingestion pipelines in PySpark and Java. - Develop and maintain batch and real‑time services using Kafka, Spark Streaming, and Flink. - Manage distributed storage with HDFS, Cloudera, and Hive. - Deploy and monitor data workloads on Azure (and optionally AWS or GCP) using cloud data services. - Containerize data processing jobs (Docker, Kubernetes) for scalability. - Integrate and support machine learning/data science workflows. Required Skills: - 5+ years in data engineering or software development. - Proficient in PySpark, Java, and related libraries. - Experience with Apache Beam, Spark, Flink, Kafka, Hadoop, Hive, HDFS. - Strong Azure platform experience; familiarity with AWS/GCP data services. - Containerization (Docker, Kubernetes) expertise. - Understanding of ML and data science concepts. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Technology, or related discipline. - Preferred certifications: Microsoft Certified: Azure Data Engineer Associate, AWS Certified Big Data – Specialty, or equivalent.