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Bengaluru

    Azure Data Engineer - Bengaluru, India - Direct Client

    Direct Client
    Direct Client Bengaluru, India

    2 days ago

    Default job background
    Technology / Internet
    Description
    Azure Data Engineer - Fivetran or Snowflake Specialist
    Bengaluru, Data & Analytics

    JOB DESCRIPTION

    • Design, develop, and deploy data pipelines and workflows using Fivetran or Snowflake on the Azure platform.
    • Collaborate with business stakeholders to gather data requirements and translate them into technical specifications and Configure and customize Fivetran connectors or Snowflake integrations to extract, transform, and load data from
    various source systems into Azure.

    • Implement data quality checks and monitoring processes to ensure the accuracy and integrity of data within Fivetran
    or Snowflake.

    • Optimize data pipelines for performance, scalability, and cost-efficiency, leveraging Azure services such as Azure Data
    Factory, Azure Databricks, and Azure Synapse Analytics.

    • Work closely with data analysts and data scientists to provide them with access to curated datasets in Fivetran or
    Snowflake for analysis and reporting.

    • Collaborate with DevOps teams to automate deployment, monitoring, and management tasks related to Fivetran or
    Snowflake environments.

    • Troubleshoot data pipeline issues, performance bottlenecks, and data quality issues in collaboration with relevant
    teams.

    • Stay updated with the latest trends and best practices in cloud data engineering, Fivetran, Snowflake, and Azure
    technologies.

    • Document data pipelines, configurations, and processes to ensure knowledge sharing and maintainability.

    Qualifications:

    • Bachelor's degree in Computer Science, Information Technology, or related field.
    2. 5+ years of experience in data warehousing

    • Proven experience as a data engineer, with specific expertise in implementing data solutions using Fivetran or
    Snowflake.

    • Hands-on experience with Azure cloud services, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage.
    • Proficiency in SQL for data querying, transformation, and manipulation.
    • Experience with data modeling concepts and techniques for designing efficient data warehouses and data lakes.
    • Strong understanding of ETL/ELT principles and best practices.
    • Excellent problem-solving skills and attention to detail, with the ability to troubleshoot and resolve complex data
    issues.

    • Experience with DevOps practices and tools for automation, CI/CD, and infrastructure as code is a plus.
    • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
    • Certifications in Azure Data Engineering or related areas are desirable
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