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Data Architect for Large-Scale Data Solutions
1 month ago
Estimated salary: ₹30,00,000 - ₹40,00,000 per annum
About CygnusPro Software Solutions Pvt. Ltd.We are a leading software solutions company that specializes in providing innovative data engineering services to our clients. Our team of experts is dedicated to delivering high-quality solutions that meet the evolving needs of businesses.
Job Description:Data Engineer Role Overview:
We are seeking an experienced Data Engineer to join our team and help us design, develop, and implement scalable data lake solutions using Google Cloud Platform (GCP) technologies. The ideal candidate will have extensive experience in building data ingestion pipelines, managing big data processing using Apache Spark, and ensuring high performance and scalability in Spark-based data processing workloads.
Main Responsibilities:
- Design and implement end-to-end data architectures leveraging GCP services for large-scale data ingestion and processing.
- Build and optimize large-scale data pipelines using Apache Spark on GCP (via Dataproc or other Spark services).
- Ensure high performance and scalability in Spark-based data processing workloads.
- Lead the integration of SAP S/4HANA data with GCP for real-time and batch data processing.
- Manage data extraction, transformation, and loading (ETL) processes from SAP S/4HANA into cloud storage and data lakes.
Key Requirements:
- Over 12 years of professional experience in data engineering, specializing in implementing large-scale enterprise data engineering projects with the latest technologies.
- Over 5 years of hands-on experience in GCP technologies and over 3 years of architect experience.
- Expert-level programming proficiency in Python, Java, and Scala.
- Extensive hands-on experience with big data technologies, including Spark, Hadoop, Hive, Yarn, MapReduce, Pig, Kafka, and PySpark.
- Proficient in Google Cloud Platform services, such as BigQuery, Dataflow, Cloud Storage, Dataproc, and Cloud Composer Google Pub/Sub, and Google Cloud Functions.
Benefits:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A dynamic and collaborative work environment.
- Flexible working hours and remote work options.
How to Apply:
