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    Data Engineering Lead - Coimbatore, India - BlueByte Technologies

    BlueByte Technologies
    BlueByte Technologies Coimbatore, India

    Found in: Talent IN 2A C2 - 2 days ago

    Default job background
    permanent Technology / Internet
    Description

    Job Title :
    Data Engineering Lead (With Architecture Experience)


    Location :
    Coimbatore


    Position Type :
    Full-Time


    Key Responsibilities :

    Architect and Design Data Solutions :

    • Collaborate with cross-functional teams to understand business requirements and design scalable and efficient data solutions.
    • Define data architectures, data models & data integration strategies to meet business objectives.
    • Provide technical leadership in designing and implementing data pipelines, ETL processes, and data warehousing solutions.

    Snowflake Expertise :

    • Leverage your in depth knowledge of Snowflake technologies to build and optimize data warehouses.
    • Develop & maintain Snowflake data models and schemas to support reporting & analytics needs.
    • Familiarity with Snowflake best practices, such as cost analysis, resource allocation, data loading strategies (e.g., bulk loading, incremental loading), and security configurations

    Azure and Databricks Proficiency :

    • Utilize Azure cloud services and Databricks platforms to manage and process large datasets efficiently.
    • Build, deploy, and maintain data pipelines on Azure Data Factory, Azure Databricks, and other Azure services.

    Data Warehousing and Integration :

    • Implement best practices for data warehousing, ensuring data quality, consistency, and reliability.
    • Create and manage data integration processes, including realtime and batch data movement between systems.

    SQL and PL/SQL Mastery :

    • Write complex SQL and PL/SQL queries to extract, transform, and load data effectively.
    • Optimize SQL queries and database performance for high volume data processing.

    Performance Tuning and Optimization :

    • Continuously monitor and enhance the performance of data pipelines and data storage systems.
    • Troubleshoot and resolve datarelated issues to minimize downtime.

    Documentation and Collaboration :

    • Document data engineering processes, data flows, and architectural decisions.
    • Collaborate with data scientists, analysts, and other stakeholders to ensure data availability and usability.

    Security and Compliance :

    • Implement data security measures and adhere to compliance standards (e.g., GDPR, HIPAA) to protect sensitive data.

    Qualifications :

    • Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
    • Over 10 years of experience in Data Engineering, with a strong focus on architecture.
    • Proven expertise in Snowflake, Azure, and Databricks technologies.
    • Comprehensive knowledge of data warehousing concepts, ETL processes & data integration techniques.
    • Exceptional SQL and PL/SQL skills.
    • Experience with performance tuning and optimization of data pipelines.
    • Strong problemsolving skills and the ability to work in a fastpaced, collaborative environment.
    • Excellent communication skills to convey technical concepts to nontechnical stakeholders.
    • Certifications in relevant technologies (e.g., Snowflake, Azure) are a plus.)
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