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 workflows

Mavlers 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)

Ongoing Responsibilities

Required Qualifications

Technical Skills (Priority Order)

HIGHEST PRIORITY :

Secondary Requirements :

Preferred Technologies :

Professional Attributes

How to apply for this opportunity

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, Api Integration, Databricks, Query Optimization, Advanced Sql, Python, Azure Devops