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GCP Data Engineer @ InfoVision Inc

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 GCP Data Engineer

Job Description

We are seeking a mid-level GCP Data Engineer with 4+ years of experience in ETL, Data Warehousing, and Data Engineering. The ideal candidate will have hands-on experience with GCP tools, solid data analysis skills, and a strong understanding of Data Warehousing principles.

Qualifications:

      4+ years of experience in ETL & Data Warehousing

      Should have excellent leadership & communication skills

      Should have experience in developing Data Engineering solutions Airflow, GCP BigQuery, Cloud Storage, Dataflow, Cloud Functions, Pub/Sub, Cloud Run, etc.

      Should have built solution automations in any of the above ETL tools

      Should have executed at least 2 GCP Cloud Data Warehousing projects

      Should have worked at least 2 projects using Agile/SAFe methodology

      Should Have mid-level experience in Pyspark and Teradata

      Should Have mid-level experience in

      Should have working experience on any DevOps tools like GitHub, Jenkins, Cloud Native, etc & on semi-structured data formats like JSON, Parquet and/or XML files & written complex SQL queries for data analysis and extraction

      Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Data Quality & Data Mapping

Education: B.Tech. /B.E. in Computer Science or related field.

  • Certifications: Google Cloud Professional Data Engineer Certification.

Roles and Responsibilities

      Analyze the different source systems, profile data, understand, document & fix Data Quality issues

      Gather requirements and business process knowledge in order to transform the data in a way that is geared towards the needs of end users

      Write complex SQLs to extract & format source data for ETL/data pipeline

      Create design documents, Source to Target Mapping documents and any supporting documents needed for deployment/migration

      Design, Develop and Test ETL/Data pipelines

      Design & build metadata-based frameworks needs for data pipelines

      Write Unit Test cases, execute Unit Testing and document Unit Test results

      Deploy ETL/Data pipelines

      Use DevOps tools to version, push/pull code and deploy across environments

      Support team during troubleshooting & debugging defects & bug fixes, business requests, environment migrations & other adhoc requests

      Do production support, enhancements and bug fixes

      Work with business and technology stakeholders to communicate EDW incidents/problems and manage their expectations

      Leverage ITIL concepts to circumvent incidents, manage problems and document knowledge

      Perform data cleaning, transformation, and validation to ensure accuracy and consistency across various data sources

      Stay current on industry best practices and emerging technologies in data analysis and cloud computing, particularly within the GCP ecosystem

Job Classification

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

Contact Details:

Company: InfoVision Inc
Location(s): Hyderabad

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Keyskills:   unit testing data warehousing pyspark data mapping sql gcp devops xml leadership writing jenkins json bigquery etl big data data profiling communication skills github data analysis teradata analysis data engineering cloud native data quality cloud storage safe agile data flow

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InfoVision Inc

Info vision Software Solutions (India) Pvt. Ltd