Snowflake Data Engineer

extra holidays - fully flexible
Work set-up: 
Full Remote
Contract: 
Full time
Experience: 
Senior (5-10 years)
Work from: 
India

Offer summary

Qualifications:

5-10 years of experience in data engineering., Strong expertise in Snowflake and SQL databases., Proficiency in Python and Linux Bash scripting., Experience with AWS services like EC2, S3, RDS, and EMR..

Key responsibilities:

  • Lead and orchestrate complex data workflows using Luigi.
  • Design and optimize data lake solutions and data architecture.
  • Manage and troubleshoot data pipelines with monitoring tools.
  • Collaborate with cross-functional teams to meet business data needs.

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3Pillar Large http://www.3PillarGlobal.com/
1001 - 5000 Employees
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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; it's 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
  • Experience: 5-10 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: Hands-on 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: In-depth knowledge of AWS EC2, S3, RDS, and EMR to deploy and manage data solutions.
  • Monitoring & Alerting Tools: Familiarity with monitoring solutions for real-time 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 & CI/CD: Familiarity with CI/CD 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 data-driven decision-making.
  • Cross-Functional Collaboration: Experience collaborating with non-technical teams on business goals and technical solutions.
    • Regards
    Rajan
    3Pillar Global

    Required profile

    Experience

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

    Hard Skills

    Snowflake (Data Warehouse)Bash (Scripting Language)AWS Cloud ServicesPython (Programming Language)Data EngineeringLuigi (Python Package)SQL (Programming Language)CI/CDApache HiveApache SparkApache HadoopData ArchitectureSystem MonitoringAdvanced AnalyticsData SecurityData Governance

    Other Skills

    • Communication
    • Leadership
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