Data Engineer(Remote)

Experience: 9.00 + years

Salary: INR 3500000-4500000 / year (based on experience)

Expected Notice Period: 15 Days

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

Opportunity Type: Remote

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Canibuild Technologies India Pvt ltd)

(*Note: This is a requirement for one of Uplers' client - Leading Proptech Company)

What do you need for this opportunity?

Must have skills required:

Athena, Data Lake Architecture, Glue, Lambda, Airflow, ETL pipelines, PostgreSQL Aurora database, PowerBI, AWS, JSON, Python, Redshift, RestAPI, SQL, Tableau

Leading Proptech Company is Looking for:

The Position:

We are seeking an experienced Data Engineer to join our team of passionate professionals working on cutting-edge technology. In this role, you will be responsible for the ELT of our Company using Python, Airflow, and SQL within an AWS environment. Additionally, you will create and maintain data visualizations and dashboards using PowerBI, connecting to our SQL Server and PostgreSQL Aurora database through a gateway. This role requires strong critical thinking, the ability to assess data and outcomes, and proactive problem-solving skills.

Responsibilities:

• Design, develop, and maintain ELT pipelines using Python, Airflow, and SQL in an AWS environment.
• Create and manage a data lake and data warehouse solutions on AWS.
• Develop and maintain data-driven dashboards and reporting solutions in PowerBI.
• Connect PowerBI to SQL Server and PostgreSQL Aurora databases using a gateway.
• Extract and integrate data from third-party APIs to populate the data lake.
• Perform data profiling and source system analysis to ensure data quality and integrity.
• Collaborate with business stakeholders to capture and understand data requirements.
• Implement industry best practices for data engineering and visualization.
• Participate in architectural decisions and contribute to the continuous improvement of data solutions.
• Follow agile practices and a Lean approach in project development.
• Critically assess the outcomes of your work to ensure they align with expectations before marking tasks as complete.
• Optimize SQL queries for performance and ensure efficient database operations.
• Perform database tuning and optimisation as needed.
• Proactively identify and present alternative solutions to achieve desired outcomes.
• Take ownership of end-to-end data-related demands — from data extraction (whether from internal databases or third-party apps) to understanding the data, engaging with relevant people when needed, and delivering meaningful solutions.
  
  
  

Required Skills and Experience:

• At least 9+ years of experience will be preferred. Strong critical thinking skills to assess outcomes, evaluate results, and suggest better alternatives where appropriate.
• Expert-level proficiency in SQL (TSQL, MS SQL) with a strong focus on optimizing queries for performance.
• Extensive experience with Python (including data-specific libraries) and Airflow for ELT processes.
• Proven ability to extract and manage data from third-party APIs.
• Proven experience in designing and developing data warehousing solutions on the AWS cloud platform.
• Strong expertise in PowerBI for data visualization and dashboard creation.
• Familiarity with connecting PowerBI to SQL Server and PostgreSQL Aurora databases.
• Experience with REST APIs and JSON
• Agile development experience with a focus on continuous delivery and improvement.
• Proactive mindset — able to suggest alternative approaches to achieve goals efficiently.
• Excellent problem-solving skills and a proactive “can-do” attitude.
• Strong communication skills and the ability to work collaboratively in a team environment.
• Ability to independently assess data, outcomes, and potential gaps to ensure results align with business goals.
• Ability to perform database tuning and optimization to ensure efficient data operations.
  
  
  

Desired Skills:

• Exposure to AWS Cloud Data Services such as RedShift, Athena, Lambda, Glue, etc.
• Experience with other reporting tools like Tableau.
• Knowledge of data lake architectures and best practices.
  
  
  

Interview Rounds :

2

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!