Freelance Senior AWS Data Engineer

7 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Part Time

Job Description

Company Description

ThreatXIntel is a startup cyber security company that specializes in providing customized, affordable solutions to protect businesses and organizations from cyber threats. Our services include cloud security, web and mobile security testing, cloud security assessment, and DevSecOps. We take a proactive approach to security by continuously monitoring and testing clients' digital environments to identify vulnerabilities.


Role Description

This is a part-time remote role for a Freelance Senior AWS Data Engineer at ThreatXIntel. The Data Engineer will be responsible for tasks such as data engineering, data modeling, ETL processes, data warehousing, and data analytics.


Key Responsibilities

  • Collaborate with BI Engineering, partner technical teams, and business stakeholders to understand requirements and translate them into data engineering solutions.
  • Build and optimize

    ETL/ELT pipelines

    and workflows using AWS data services.
  • Ensure

    data reliability and quality

    by identifying anomalies, performing root-cause analysis, and implementing fixes.
  • Design and maintain

    data models, warehouses, and lakehouse solutions

    for analytical and operational workloads.
  • Improve performance of

    SQL queries

    and optimize AWS data pipelines for scalability and cost efficiency.
  • Work with

    large datasets

    across structured and unstructured data sources.
  • Follow best practices in data engineering: validation, testing, version control, and documentation.

Required Expertise

  • Bachelor’s degree in Computer Science, Data Engineering, or related field.
  • 7+ years of data engineering experience

    with a focus on AWS cloud environments.
  • Strong SQL development skills

    and experience in query optimization.
  • Expertise in

    ETL/ELT pipeline development

    and data modeling.
  • Hands-on programming experience in

    Python

    (Java, Scala, or Node.js also acceptable).
  • Proven experience with AWS services:

    Redshift, S3, Glue, EMR, Lambda, Kinesis, Firehose, IAM

    .
  • Experience with

    non-relational databases

    (document, key-value, graph, or object storage).
  • Familiarity with

    DevOps practices

    – Git, CI/CD pipelines, automated testing.

Preferred Qualifications

  • Experience in preparing data for

    visualization tools

    (Tableau, QuickSight, Power BI).
  • Exposure to

    streaming data processing

    and real-time data pipelines.
  • Knowledge of

    data governance, data lineage, and quality frameworks

    .
  • Strong communication and documentation skills.

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