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AWS Data Architech

3.00 to 7.00 Years   Noida   04 May, 2022
Kan Infocom Solution India Private Limited
Job LocationNoida
EducationNot Mentioned
SalaryRs 4.0 - 9 Lakh/Yr
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Dear Candidate,We are hiring forAWS Data ArchitechExperience : 3 to 7 yearQualification :DiplomaAnnual CTC : 4 TO 15 LPALocation : NoidaJOB DESCRIPTION:
    • Bachelors/ masters degree in computer science or equivalent.
    • 8 to 12 Years Hands-on experience in a professional role building Data Engineering product.
    • Expert in On Prem/AWS Cloud Data Management, Big Data, Data Integrations, Data Migration, Data Accuracy, Application Integration, Data Governance, Coding, Data Warehouse, Data Lake, Data Management and MDM etc.
    • Design and implement end-to-end data solutions (storage, integration, processing, visualization)
    • Demonstrated creative problem-solving ability
    • Ability to work effectively independently as well as in a team environment
    Responsibilities:
    • Architect and implement ETL and data movement solutions like ELT/ETL/Data pipelines.
    • Apply industry best practices, security, manage compliance, adopt appropriate design patterns etc.
    • Able to work and manage tests, monitors, manage and validate data warehouse activity including data extraction, transformation, movement, loading, cleansing, and updating processes.
    • Architect, Design and implement database solutions related to Big Data, Real-time/ Data Ingestion, Data Warehouse, SQL/NoSQL
    • Architect, Design and implement automated workflows and routines using workflow scheduling tools
    • Identify and automate to optimize the performance.
    • Conduct appropriate functional and performance testing to identify bottlenecks and data quality issues.
    • Be able to implement slowly changing dimensions as well as transaction, accumulating snapshot, and periodic snapshot fact tables.
    • Collaborate with business users, EDW team members, and other developers throughout the organization to help everyone understand issues that affect the data warehouse.
    Technical Skillset as detailed below:
    • Experience with Data Warehousing, Data Lake, Analytic processes, and methodologies. Proficient in writing and optimizing SQL queries and other procedures/scripts
    • Strong knowledge of data integration (ETL/ELT), data quality and multi-dimensional design.
    • Hand on experience in any of programming language like Java, Python, or Scala
    • Solid understanding of/experience with streaming solutions
    • AWS Infra Sizing & estimation Must have:
    • DWH, Data Lake, Spark, Python, AWS Glue, AWS S3, AWS Redshift, Sage Maker, AppFlow, Data Lake Formation, AWS Security, Lambda, EMR, SQL
    Good to have:
    • Cloud Formation, VPC, Java, Snowflake, Talend, RDS, Data Bricks
    THANKS & REGARDSHR

Keyskills :
data architecturesoftware engineering

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