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Senior Data Engineering Strategist

1 month ago

Delhi, Delhi, India Kloud9 Full time

About the Role

Kloud9 is seeking a Senior Data Engineering Strategist to join our team. As a key member of our data engineering department, you will be responsible for designing and implementing large-scale data lake solutions using Google Cloud Platform (GCP) services.

Job Summary

We are looking for a highly skilled Data Engineer with expertise in GCP, Apache Spark, and SAP S/4HANA to lead the development of scalable, high-performance data pipelines. The ideal candidate will have extensive experience in building data ingestion pipelines, managing big data processing using Apache Spark, and integrating SAP S/4HANA with GCP cloud infrastructure.

Key Responsibilities

  • Design and implement end-to-end data architectures leveraging GCP services (e.g., Big Query, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer) 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.
  • Develop and manage scalable data ingestion pipelines for structured and unstructured data using tools like Cloud Dataflow, Cloud Pub/Sub, and Apache Spark.
  • Provide architectural guidance for designing secure, scalable, and efficient data solutions on the Google Cloud Platform, integrating with on-premise/cloud systems like SAP S/4HANA.
  • Implement both real-time streaming and batch processing pipelines using Apache Spark, Dataflow, and other GCP services to meet business requirements.
  • Implement data governance, access controls, and security best practices to ensure the integrity, confidentiality, and compliance of data across systems.

Requirements

  • 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.
  • Experience with Cloud SQL, BigQuery, and Looker Studio (Google Data Studio) for cloud-based data solutions.
  • Skilled in orchestration and deployment tools like Cloud Composer, Airflow, and Jenkins for continuous integration and deployment (CI/CD).
  • Strong background in working with relational databases, NoSQL databases, and in-memory databases.
  • Experience managing large datasets within Data Lake and Data Fabric architectures.

Preferred Qualifications

  • GCP Certifications: Such as Professional Data Engineer or Professional Cloud Architect.
  • Apache Spark and Python certifications.
  • Experience with Data visualization tools like Tableau, Power BI etc.

About Kloud9

Kloud9 is a cutting-edge technology company that specializes in providing innovative solutions for businesses. We are committed to delivering exceptional results and fostering a culture of innovation, collaboration, and excellence.

Compensation

The estimated salary for this position is $180,000 per year, based on industry standards and the level of experience required for the role.