Design, build, and maintain centralized data pipelines, warehouses, lakes and hubs. Assemble complex datasets, implement ETL processes, build analytics tools and reports, support cross-functional teams, ensure secure cross-region data separation, and create product data tools to enable insights on acquisition and operational metrics.
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.
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 skills
- Experience 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.
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead data engineering architecture and execution for large-scale, low-latency analytics. Own technical direction, ensure operational data quality, design streaming and batch pipelines, mentor engineers, coordinate cross-functional teams, and deliver scalable solutions using Spark, Airflow, and AWS or equivalent data platforms.
Top Skills:
AirflowAthenaColumn StoresDatabricksDatabricks ApisEmrFlinkHiveKafkaKappa ArchitectureLambda ArchitectureMaster Data Management (Mdm)Microservices ArchitectureRedshiftSparkSQLStreaming Pipelines
Artificial Intelligence • HR Tech • Professional Services • Software
Design and maintain scalable Snowflake data warehouses and ETL/ELT pipelines. Lead Oracle-to-Snowflake migrations, including assessment, mapping, transformation, validation, and reconciliation. Develop data models and advanced SQL workflows, optimize Snowflake performance, troubleshoot pipeline and data quality issues, and support secure, governed, monitored cloud data platforms. Collaborate with architects, analysts, application teams, and business stakeholders on enterprise data modernization.
Top Skills:
AgileAWSAzureCi/CdDevOpsDynamic TablesEltETLGCPGitInformaticaMatillionOraclePythonSnowflakeSnowpipeSQLStreamsTalendTasksTime Travel
HR Tech • Information Technology • Professional Services
Design, implement, and optimize graph data solutions for a supplier chain project. Responsibilities include graph modeling with LPG and RDF, Neo4j database development and query optimization, GCP data processing using BigQuery, GCS, and Dataproc, and integrating graph data with visualization tools. The role also involves schema and data design, SQL-based relational database work, performance tuning, and potentially ETL/ELT, streaming, API, and distributed systems development.
Top Skills:
Api DevelopmentBigQueryCypherDataprocDistributed SystemsEtl/EltGcp Data FusionGoogle Cloud Platform (Gcp)Google Cloud Storage (Gcs)KafkaKinesisLabeled Property Graphs (Lpg)Neo DashNeo4JNeo4J AuraPower BIPysparkResource Description Framework (Rdf)SparksqlSQLTableau
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
