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Urgent Hiring for the Position || GCP Data Engineer || USA (Remote) at Remote, Remote, USA
Email: [email protected]
Hello,

My name is Mansi Sen, and I work as a Technical Recruiter for K-Tek Resourcing.

We are searching for Professionals below business requirements for one of our clients. Please read through the requirements and connect with us in case it suits your profile.

Please see the Job Description and if you feel Interested then send me your updated resume at  [email protected]  

Job Title:  
GCP Data Engineer

Locat
ion:  

USA Remote

Duration: Long Term

Implementation Partner: HCL America

Job Description:

Key Responsibilities:

         Design, develop, and implement scalable, high-performance data solutions on GCP.

         Ensure that changes to data access permissions are reflected in the Tableau dashboard within 24 hours.

         Collaborate with technical and business users to share and manage data sets across multiple projects.

         Utilize GCP tools and technologies to optimize data processing and storage.

         Re-architect the data pipeline that builds the BigQuery dataset used for GCP IAM dashboards to make it more scalable.

         Run and customize DLP scans.

         Build bidirectional integrations between GCP and Collibra.

         Explore and potentially implement Dataplex and custom format-preserving encryption for de-identifying data for developers in lower environments.

Qualifications - Required:

         Bachelor's degree in Computer Engineering or a related field.

         5+ years of experience in an engineering role using Python, Java, Spark, and SQL.

         5+ years of experience working as a Data Engineer in GCP.

         Proficiency with Googles Identity and Access Management (IAM) API.

         Strong Linux/Unix background and hands-on knowledge.

         Experience with big data technologies such as HDFS, Spark, Impala, and Hive.

         Experience with scripting and bash.

         Experience with version control platforms like GitHub.

         Experience with unit testing code.

         Experience with development ecosystems including Jenkins, Artifactory, CI/CD, and Terraform.

         Demonstrated proficiency with Airflow.

         Ability to advise management on approaches to optimize for data platform success.

         Ability to effectively communicate highly technical information to various audiences, including management, the user community, and less-experienced staff.

         Proficiency in multiple programming languages, frameworks, domains, and tools.

         Coding skills in Scala.

         Experience with GCP platform development tools such as Pub/Sub, Cloud Storage, Bigtable, BigQuery, Dataflow, Dataproc, and Composer.

         Knowledge in Hadoop and cloud platforms and surrounding ecosystems.

         Experience with web services and APIs (RESTful and SOAP).

         Ability to document designs and concepts.

         API Orchestration and Choreography for consumer apps.

         Well-rounded technical expertise in Apache packages and hybrid cloud architectures.

         Pipeline creation and automation for data acquisition.

         Metadata extraction pipeline design and creation between raw and transformed datasets.

         Quality control metrics data collection on data acquisition pipelines.

         Experience contributing to and leveraging Jira and Confluence.

         Strong experience working with real-time streaming applications and batch-style large-scale distributed computing applications using tools like Spark, Kafka, Flume, Pub/Sub, and Airflow.

         Ability to work with different file formats like Avro, Parquet, and JSON..

         Hands-on experience in Analysis, Design, Coding, and Testing phases of the Software Development Life Cycle (SDLC)

USA | Canada| India

Thanks & Regards,

Mansi Sen

[email protected]

Keywords: continuous integration continuous deployment information technology Delaware
Urgent Hiring for the Position || GCP Data Engineer || USA (Remote)
[email protected]
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Mon Dec 16 22:06:00 UTC 2024

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