Senior Data Specialist (SQL/ Pyspark)

Experience

: 3.00 + years

Salary

: Confidential (based on experience)

Expected Notice Period

: 15 Days

Shift

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

Opportunity Type

: Remote

Placement Type

: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month)

(*Note: This is a requirement for one of Uplers' client - Mavlers end client from UK - A data-based customer experience company)What do you need for this opportunity?Must have skills required:Proactive problem-solver, Analytical, CI/CD, Databricks, PySpark, Azure DevOps, Python, Advanced SQL, Treasure Data workflowsMavlers end client from UK - A data-based customer experience company 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 optimization 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.

Working Time

- 9 am to 6 pm GMT (1:30 pm to 10:30 pm)

Key Responsibilities:

Initial Onboarding Focus (First 30-60 days)

• 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

Technical Skills (Priority Order)

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!