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Data Moduler Lead - AWS/ Azure

6 - 10 yrs
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Not Disclosed by Recruiter Openings: 1 Posted 30+ days ago Job Applicants: 28 Job Views: 175

Job Description

 
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    Data Moduler lead

    To succeed, you'd have technical experience and expertise in :

    a) For you to be successful, you must :

    - Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces. Review modifications to existing software to improve efficiency and performance.

    - Create and maintain optimal data and model dataOps 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, etc.

    - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud-based big data technologies from AWS, Azure and others.

    - 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 data separated and secure across national boundaries through through multiple data centers and strategic customers/partners.

    - Create tool-chains for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

    - Work with data and machine learning experts to strive for greater functionality in our data and model life cycle management systems.

    b) You'll bring this to the table :

    - Minimum 6 Years- Experience with ETL design and development (batch, near-real time) using any modern ETL tools (Preferably Talend or Alteryx)

    - Experience in data preparation for analysis (e.g. Data lake, Dimensional, etc. preferably Python, R)

    - Understand and translate business needs into data models supporting long-term solutions.

    - Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.

    - Create logical and physical data models using best practices to ensure high data quality and reduced redundancy.

    - Optimize and update logical and physical data models to support new and existing projects.

    - Maintain conceptual, logical and physical data models along with corresponding metadata.

    - Develop best practices for standard.

    - Reverse engineering of physical data models from databases and SQL scripts.

    - Evaluate data models and physical databases for variances and discrepancies.

    - Validate business data objects for accuracy and completeness. Analyze data-related system integration challenges and propose appropriate solutions.

    - Develop data models according to company standards.

    - Experience with machine learning on big data

    c) What experience you must have :

    - Strong and hands-on experience in data modelling for data applications

    - Experience in driving business and data analysis to synthesize inputs for data modelling, collaborating with business analysts and client stake holders.

    - Strong expertise in modelling concepts and methodologies such as Kimball and Inman

    - Experience modelling and implementing data solutions such as Data Warehouse / data mart, BI/OLAP cubes, data vault, etc.,

    - Experience in using one or more data modelling tools such as ERStudio, MS Visio, etc.,

    - Experience in creating, and maintaining, conceptual, logical and physical data models defining information requirements for management and business intelligence purposes.

    - Strong experience in low level design and implementing physical design from logical data model

    - Experience in managing and maintaining model repository

    - Experience in developing test plan and test cases to test and validate the data model across the implementation life cycle

    - Experience in working agile environments to deliver data analytics applications across multiple phases and sprints

    - Nice to have: data modelling experience in data lake implementations, including for unstructured data storage

    d) It would be exceptional, if you also have this :

    - Expertise in Image, Video, Speech, Sound, Text domain

    - Working knowledge of concepts and application of Design of Experiments

    - Depth across areas within the Domaine Industry


Salary: Not Disclosed by Recruiter

Industry: IT-Software, Software Services

Functional Area: IT Software - Application Programming , Maintenance

Role Category:Programming & Design

Role:Team Lead/Technical Lead

Employment Type: Full Time, Permanent

Keyskills

Education-

UG: Any Graduate - Any Specialization

PG:Any Postgraduate - Any Specialization

Doctorate:Doctorate Not Required

Company Profile:

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Nirmala HK Freelancer Recruiter Recruiter Bengaluru / Bangalore

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