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    Lead Engineer - Hyderabad, India - Inspire

    Inspire
    Inspire Hyderabad, India

    Found in: Appcast Linkedin IN C2 - 21 hours ago

    Default job background
    Retail
    Description

    We are looking for a Lead Data Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platform. The candidate will require to possess strong technical, analytical, programming and critical thinking skills.

    Duties and Responsibilities:

    • Work closely with Product owners / managers to understand the business needs
    • Collaborate with architects, data modelers and other team members to design technical details of data engineering jobs / processes to fulfillment business needs
    • Lead sessions with data engineers and provide necessary guidance to solve technical challenges
    • Develop new and/or enhance existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components
    • Actively contribute towards setting up and refining data engineering best practices
    • Help data engineers adhere to coding standards, best practices, etc. and produce production deployable code that is robust, scalable and reusable
    • Support and troubleshoot the data environments, tune performance, etc.
    • Document technical artifacts for developed solutions
    • Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships.
    • Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills
    • Familiar with Agile practices and methodologies

    Education RequirementsMin / PreferredEducation LevelDescription:

    • Minimum 4 Year / Bachelor's Degree A bachelor's degree in computer science, data science, information science or related field, or equivalent work

    Years Of ExperienceMinimum Years of ExperienceMaximum Years of ExperienceComments:

    • 8-10 years of experience in a Data Engineering role

    Knowledge, Skills, and Abilities:

    • Advanced SQL queries, scripts, stored procedures, materialized views, and views (5+ yrs experience)
    • Focus on ELT to load data into database and perform transformations in database (5+ yrs experience)
    • Ability to use analytical SQL functions
    • Snowflake experience a plus.
    • Experience building dimensional Data marts, Data lakes and warehouses. (5+ yrs experience)
    • Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming – (3+ years' experience with one or more cloud platforms)
    • Experience with DevOps models utilizing a CI/CD tool (2+ yrs experience)
    • Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)
    • Talend, Apache Airflow or TWS, Azure Data Factory, and BI tools like Tableau preferred (3+ years experience with one or more)
    • Analyze data models
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