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Data Engineer - GCP

6.00 to 10.00 Years   Hyderabad   08 Dec, 2022
EMMESS TECHNOLOGIES PRIVATE LIMITED
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaApplication Programming / Maintenance
EmploymentTypeFull-time

Job Description

    Position : Data Engineer - GCPLocation : Bangalore/Hyderabad/PuneExperience : 6 - 10 Years
    • Create and maintain optimal data pipeline architecture., Assemble large, complex data sets that meet functional / non-functional business requirements., Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, Build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP data warehousing technologies.
    • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics, Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs, Keep our data separated and secure across national boundaries through data centers and GCP regions., Work with data and analytics experts to strive for greater functionality in the data systems.
    • Qualification- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases,
    • Experience building and optimizing data warehousing data pipelines (ELT and ETL), architectures and data sets.,
    • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement, Strong analytic skills related to working with unstructured datasets, build processes supporting data transformation, data structures, metadata, dependency, and workload management,
    • A successful history of manipulating, processing, and extracting value from large, disconnected datasets, working knowledge of message queuing, stream processing, and highly scalable big data data stores, Strong project management and organizational skills, Experience supporting and working with cross-functional teams in a dynamic environment.
    • Technical Skillset-Experience with data warehouse tools: GCP BigQuery, GCP BigData, Dataflow, Teradata, etc,
    • Experience with relational SQL and NoSQL databases, including PostgreSQL and MongoDB,
    • Experience with data pipeline and workflow management tools: Data Build Tool (DBT), Airflow, Google Cloud Composer, Google Cloud PubSub, etc,
    • Experience with GCP cloud services: Primarily BigQuery, Kubernetes, Cloud Function, Cloud Composer, PubSub etc, Experience with object-oriented/object function scripting languages: Python, Java, Terraform etc,
    • Experience with CICD pipeline and workflow management tools: GitHub Enterprise, Cloud Build, Codefresh etc,
    • Experience with Data Analytics and Visualization Tools: Tableau BI Tool (OnPrem and SaaS), Data Analytics Workbench (DAW), Visual Data Studio etc., GCP Data Engineer certification is mandatory

Keyskills :
kubernetesjavaetldata engineeringgcppythonsqlci cd

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