Data Engineer

Wahed Inc.; India; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Wahed Inc. in India is seeking savvy Data Engineers to join our analytics team. You will build and optimize data pipelines, data warehouse, data lake, and data hubs to support cross-functional analytics across Wahed's platforms.

The role requires 3–5 years of data engineering experience, strong Python and SQL, and familiarity with AWS, Kafka, and Elasticsearch. You will work with product and business teams to deliver reliable data assets and scalable data infrastructure.

Qualifications

• 3–5 years of Data Engineering experience.
• Degree in CS, Statistics, Informatics, Information Systems or another quantitative field.
• Strong Python and SQL skills.
• Experience with big data systems, pipelines, architectures, data sets and ETL tools.
• Familiar with AWS, Linux and NoSQL databases.

Responsibilities

• Build and maintain a centralised data system: pipelines, data warehouse, data lake and data hubs.
• Assemble large, complex data sets meeting business requirements.
• Develop ETL infrastructures using SQL and AWS big data technologies.
• Create analytics tools and reports from the data pipeline for key metrics.
• Collaborate with stakeholders to support data infrastructure needs.

Skills

Python

SQL

Big data pipelines

AWS

Elasticsearch

Kafka

Linux

NoSQL

Data analysis

Communication

Cross-functional teams

Problem solving

Education

Bachelor's in CS/Stats/Info Systems or quantitative field

Tools

AWS

Elasticsearch

Kafka

Job description

About Wahed

The global financial system wasn't built for everyone. For millions of people, its reliance on interest (riba) creates a barrier to managing money and building wealth without compromising their values.

At Wahed, we're changing that. We are a global fintech company on a mission to build a new financial system—one that is ethical, accessible, and entirely interest-free. From our offices across the globe, our team is building products that were once deemed impossible, from pioneering Shariah‑compliant equity ETFs, creating true riba‑free alternatives to high yield savings accounts, to creating no‑leverage real estate investments for truly interest‑free income producing assets. If you're driven to solve complex problems and believe finance should empower, not exclude, join us in building a more equitable financial future.

Job Brief

We are looking for savvy Data Engineers to join our growing team of analytics experts in Asia. They will be responsible for building, expanding and optimizing our data systems and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams and various business departments. They need to be experienced data system builders, have worked on 100s of ETL jobs and be data wranglers who enjoy optimizing data systems and building them from the ground up.

They will also ensure optimal data delivery architecture is consistent throughout ongoing projects. We are looking for candidates that are self‑motivated and eager to learn new technologies, work well both within a team and on their own, and have an attention to detail.

Job Description

• Build and maintain a centralised data system consisting of an optimally built data pipeline architecture, data warehouse, data lake and data hubs
• Assemble large, complex data sets that meet functional and non‑functional business requirements
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Events and AWS ‘big data’ technologies but not limited to AWS
• Build analytics tools and reports that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Work with various stakeholders and teams at Wahed to assist with data‑related technical issues and support their data infrastructure needs
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions
• Create data tools for Product team members that assist them in building and optimizing our product into an innovative industry leader

Job Specification

• At least 3 to 5 years of Data Engineering experience
• A degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
• Strong Python coding skills
• Advanced SQL skillsExperience with ‘big data’ data systems, pipelines, architectures, data sets and ETL tools
• Comfortable performing root cause analysis to answer specific business data questions and identify opportunities for improvement
• Comfortable working in a Linux environment
• Familiar with AWS
• Familiar with noSQL databases such as Elasticsearch and event‑streaming platforms such as Kafka
• Strong analytical skills related to working with complex and non‑structured datasets.
• Experience in creating and improving processes that support data transformation, data structures, metadata, dependency and workload management
• Strong communicator, project management and organizational skills
• Experience supporting and working with cross‑functional teams in a dynamic environment.
• Understand the trade‑offs in employing different engineering solutions to a problem, valuing pragmatism over idealism
• Eager and open to learning.