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Senior Treasure Data Specialist

Senior Treasure Data Specialist

ConfidentialBhopal, India
5 days ago
Job description

Experience : 4.00 + years

Salary : INR 1500000-2200000 / year (based on experience)

Shift : (GMT+05 : 30) Asia / Kolkata (IST)

Opportunity Type : Remote

Placement Type : Full time Permanent Position

  • Note : This is a requirement for Uplers)

What do you need for this opportunity

Must have skills required :

SQL, PySpark

Uplers is Looking for :

We are seeking a Senior Treasure Data Specialist (4+ Years of SQL Coding Experience) to join our dynamic team as an individual contributor focused on data pipeline optimisation and real-time integration projects. This role offers the opportunity to work with cutting-edge data technologies while contributing to loyalty program initiatives and advanced analytics solutions.

Shift Time - 9 AM to 6 PM GMT (1 : 30 PM to 10 : 30 PM)

Engagement - Contract based employment

Tenure - 6 to 12 months (With possibility of extension)

Key Responsibilities :

  • Update and optimize workflows in Treasure Data for loyalty program initiatives
  • Develop new SQL queries and enhance existing data logic
  • Complete Treasure Data training modules and platform familiarization
  • Participate in team-led pipeline walkthroughs for integration understanding
  • Ongoing Responsibilities
  • Design and implement real-time data integration solutions using Treasure Data, Databricks, and Braze
  • Execute Continuous Integration (CI) roadmap tasks and resolve delayed test issues
  • Manage workflow optimization and query performance tuning
  • Participate in daily standups and maintain clear client communication
  • Utilize Azure DevOps for task management and Tempo for time tracking
  • Required Qualifications :

    HIGHEST PRIORITY :

  • Advanced SQL proficiency - This is our primary filtering criterion
  • PySpark programming skills
  • Strong experience with Treasure Data platform
  • Data pipeline development and management expertise
  • Query optimization and performance tuning capabilities
  • Secondary Requirements :

  • Python development experience
  • API integration experience
  • Real-time data processing knowledge
  • Preferred Technologies :
  • Databricks platform expertise
  • Azure DevOps familiarity
  • Braze integration experience
  • CI / CD pipeline knowledge
  • Professional Attributes
  • Proactive problem-solver with independent work capability
  • Excellent communication skills for team and client interactions
  • Experience with Agile development processes
  • DevOps methodology familiarity
  • Ability to thrive in dynamic, technically demanding environments
  • Strong analytical and troubleshooting skills
  • How to apply for this opportunity

  • Step 1 : Click On Apply! And Register or Login on our portal.
  • Step 2 : Complete the Screening Form & Upload updated Resume
  • Step 3 : Increase your chances to get shortlisted & meet the client for the Interview!
  • About Uplers :

    Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

    (Note : There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

    So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

    Skills Required

    Pyspark, Databricks, Sql, Azure Devops

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    Senior Data Specialist • Bhopal, India

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