Senior Enterprise Data Engineer
1 day ago
Job Title: Senior Enterprise Data Engineer
">About Us: Kloud9 is a cutting-edge technology firm that empowers businesses to unlock their full potential through innovative data solutions. We are seeking an experienced Senior Enterprise Data Engineer to join our team and contribute to the design, development, and implementation of large-scale enterprise data engineering projects.
">Salary: $170,000 per year
">Job Description:
">We are looking for a highly skilled and seasoned Data Architect who has extensive experience in designing and implementing large-scale data architectures on Google Cloud Platform (GCP). The ideal candidate will have over 10 years of professional experience in data engineering, with a strong background in Apache Spark, Hadoop, and big data technologies. The successful candidate will be responsible for leading the integration of SAP S/4HANA data with GCP for real-time and batch data processing, managing data extraction, transformation, and loading (ETL) processes from SAP S/4HANA into cloud storage and data lakes.
">The Senior Enterprise Data Engineer will also develop and manage scalable data ingestion pipelines for structured and unstructured data using tools like Cloud Dataflow, Cloud Pub/Sub, and Apache Spark. Additionally, the candidate will 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.
">The role requires excellent technical leadership skills, with the ability to mentor junior engineers in data architecture, Apache Spark development, and GCP best practices. The ideal candidate will have a strong background in programming languages such as Python, Java, and Scala, and proficiency in GCP services such as BigQuery, Dataflow, Cloud Storage, Dataproc, and Cloud Composer.
">Required Skills and Qualifications:
">To succeed in this role, you will need:
">- ">
- Over 10 years of professional experience in data engineering, specializing in implementing large-scale enterprise data engineering projects with the latest technologies.">
- Extensive hands-on experience with big data technologies, including Spark, Hadoop, Hive, Yarn, MapReduce, Pig, Kafka, and PySpark.">
- Proficiency in GCP services, such as BigQuery, Dataflow, Cloud Storage, Dataproc, and Cloud Composer.">
- Expertise in Apache Spark for both batch and real-time processing, as well as proficiency in Apache Beam, Hadoop, or other big data frameworks.">
- Experience managing large datasets within Data Lake and Data Fabric architectures.">
- A strong background in working with relational databases, NoSQL databases, and in-memory databases.">
- Experience in implementing data governance, data lineage, and data quality frameworks.">
- 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.">
Benefits:
">Kloud9 offers a comprehensive benefits package, including:
">- ">
- A competitive salary of $170,000 per year.">
- A comprehensive health insurance plan.">
- A generous retirement savings plan.">
- Opportunities for professional growth and development.">
Others:
">Kloud9 is an equal opportunity employer committed to diversity and inclusion. We welcome applications from qualified candidates who are passionate about data engineering and want to make a difference in our organization.
">Please submit your resume and cover letter to apply for this exciting opportunity.
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