Snowflake Data Engineer

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Minimum 5 years of experience in IT, with at least 4 years in data engineering., Strong expertise in Snowflake and data processing tools., Proficiency in Python and Linux Bash scripting for automation., Experience with AWS cloud services and data security practices..

Key responsibilities:

  • Lead and orchestrate complex data workflows using Luigi.
  • Manage data storage, processing, and optimization in Snowflake and Hadoop ecosystem.
  • Collaborate with cross-functional teams to design and implement data solutions.
  • Guide junior team members and communicate project progress to stakeholders.

PointAbout Inc. logo
PointAbout Inc. http://www.3pillarglobal.com
501 - 1000 Employees
See all jobs

Job description

🌟 Distinguished Tech Innovator:3Pillar warmly extends an invitation for you to join an elite team of visionaries. Beyond software development, we are dedicated to engineering solutions that challenge conventional norms. Envision you: steering projects that redefine urban living, establish new media channels for enterprise companies, or drive innovation in healthcare. Your invaluable expertise will serve as the cornerstone in shaping the future direction of our endeavors.This role transcends the ordinary realms of coding; its about orchestrating technological marvels that disrupt industries. Seize this extraordinary opportunity to lead a team that is actively shaping the tech landscape for our clients, and sets global standards along the way. 🌍🔥

Minimum Qualification
  • 5+ Years of Experience into IT
  • Experience: 4+ years of experience in data engineering,
  • Strong exp in Snowflake.
  • Programming & Scripting: Strong programming skills in Python and Linux Bash for automation and data workflows.
  • Framework Proficiency: Handson experience with Luigi for orchestrating complex data workflows.
  • Data Processing & Storage: Expertise in Hadoop ecosystem tools and managing SQL databases for data storage and query optimization.
  • AWS Cloud Services: Indepth knowledge of AWS EC2, S3, RDS, and EMR to deploy and manage data solutions.
  • Monitoring & Alerting Tools: Familiarity with monitoring solutions for realtime tracking and troubleshooting of data pipelines.
  • Communication & Leadership: Proven ability to lead projects, communicate with stakeholders, and guide junior team members.

  • Additional experience
  • Data Architecture: Experience designing or optimizing data lake solutions.
  • Security Practices: Understanding of data security practices, data governance, and compliance for secure data processing.
  • Automation & CICD: Familiarity with CICD tools to support automation of deployment and testing.
  • Big Data Technologies: Knowledge of big data processing tools like Spark, Hive, or related AWS services.
  • Advanced Analytics: Background in analytics or data science to contribute to more datadriven decisionmaking.
  • CrossFunctional Collaboration: Experience collaborating with nontechnical teams on business goals and technical solutions.
  • Regards
    Rajan
    3Pillar Global
  • Required profile

    Experience

    Level of experience: Senior (5-10 years)
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Other Skills

    • Communication
    • Leadership

    Data Engineer Related jobs