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    • Senior Data Engineer - Dindigul - Jeavio

    Jeavio
    Jeavio Dindigul

    3 weeks ago

    Default job background
    Description

    Senior Data Engineer

    We are seeking an experienced Senior Data Engineer to join Jeavio. The ideal candidate will have a strong background in data engineering and AWS infrastructure, with hands-on experience in building and maintaining data pipelines and the necessary infrastructure components.

    Key Responsibilities:

    • Design, develop, and maintain data pipelines using Airflow and AWS services.
    • Implement and manage data warehousing solutions with Databricks and PostgreSQL.
    • Automate tasks using GIT / Jenkins.
    • Develop and optimize ETL processes, leveraging AWS services like S3, Lambda, AppFlow, and DMS.
    • Create and maintain visual dashboards and reports using Looker.
    • Collaborate with cross-functional teams to ensure smooth integration of infrastructure components.
    • Ensure the scalability, reliability, and performance of data platforms.
    • Work with Jenkins for infrastructure automation.

    Technical and Functional Areas of Expertise:

    • Working as a senior individual contributor on a data-intensive project.
    • Strong experience in building high-performance, resilient & secure data processing pipelines preferably using Python-based stack.
    • Extensive experience in building data-intensive applications with a deep understanding of querying and modeling with relational databases preferably on time-series data.
    • Intermediate proficiency in AWS services (S3, Airflow).
    • Proficiency in Python and PySpark.
    • Proficiency with ThoughtSpot or Databricks.
    • Intermediate proficiency in database scripting (SQL).
    • BASIC experience with Jenkins for task automation.

    Nice to Have:

    • Intermediate proficiency in data analytics tools (Power BI / Tableau / Looker / ThoughSpot).
    • Experience working with AWS Lambda, Glue, AppFlow, and other AWS transfer services.
    • Exposure to PySpark and data automation tools like Jenkins or CircleCI.
    • Familiarity with Terraform for infrastructure-as-code.
    • Experience in data quality testing to ensure the accuracy and reliability of data pipelines.
    • Proven experience working directly with U.S. client stakeholders.
    • Ability to work independently and take the lead on tasks.

    Education and Experience:

    • Bachelor's or master's in computer science or related fields.
    • 5+ years of experience.

    Stack/Skills Needed:

    • Databricks.
    • PostgreSQL.
    • Python & Pyspark.
    • AWS Stack.
    • Power BI / Tableau / Looker / ThoughSpot.
    • Familiarity with GIT and/or CI/CD tools.
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Dindigul
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Senior data engineer