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Pyspark GCP Engineer @ Datametica

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 Pyspark GCP Engineer

Job Description

Job Description Data Engineer/Lead

Required Minimum Qualifications

  • Bachelors degree in computer science, CIS, or related field
  • 5-10 years of IT experience in software engineering or related field
  • Experience on project(s) involving the implementation of software development life cycles (SDLC) 

Primary Skills : PySpark, SQL, GCP EcoSystem(Biq Query, Cloud Composer, DataProc)

  • Design and develop data-ingestion frameworks, real-time processing solutions, and data processing and transformation frameworks leveraging open source tools and data processing frameworks.
  • Hands-on on technologies such as Kafka, Apache Spark (SQL, Scala, Java), Python, Hadoop Platform, Hive, airflow
  • Experience in GCP Cloud Composer, Big Query, DataProc
  • Offer system support as part of a support rotation with other team members.
  • Operationalize open-source data-analytic tools for enterprise use.
  • Ensure data governance policies are followed by implementing or validating data lineage, quality checks, and data classification.
  • Understand and follow the company development lifecycle to develop, deploy and deliver.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Big Data Engineer
Employement Type: Full time

Contact Details:

Company: Datametica
Location(s): Hyderabad

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Keyskills:   Pyspark SQL bigdata Bigquery Dataproc Mapreduce Hadoop Platform airflow Hive spark gcp Biq Query Data Flow hadoop map Python

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Datametica

DataMetica is the leader in Big Data architecture, Advanced Analytics and Big Data Operations focused on serving large global companies. We provide a fast and reliable integration of Hadoop and related technologies into enterprise operations. Our team is comprised of highly experienced Hadoop, noSQL...