The role involves building a centralized data lake on GCP, developing SPARK-powered data pipelines, ensuring data quality, and collaborating with cross-functional teams for advanced analytics and data models.
Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world.
We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.
Responsibilities
- Build a centralized data lake on GCP Data services by integrating diverse data sources throughout the enterprise.
- Develop, maintain, and optimize SPARK-powered batch and streaming data processing pipelines. Leverage GCP data services for complex data engineering tasks and ensure smooth integration with other platform components
- Design and implement data validation and quality checks to ensure data's accuracy, completeness, and consistency as it flows through the pipelines.
- Work with the Data Science and Machine Learning teams to engage in advanced analytics.
- Collaborate with cross-functional teams, including data analysts, business users, operational and marketing teams, to extract insights and value from data.
- Collaborate with the product team to design, implement, and maintain the data models for analytical use cases.
- Design, develop, and upkeep data dashboards for various teams using Looker Studio.
- Engage in technology explorations, research and development, POC’s and conduct deep investigations and troubleshooting.
- Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance.
- Troubleshoot data issues and conduct root cause analysis when reporting data is in question.
Required Technical Skills
- PySpark Batch and Streaming
- GCP Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and
- Cloud Storage
- NoSQL (preferably MongoDB
- Programming languages: Scala/Python
- Great Expectation, or similar DQ framework
- Familiarity with workflow management tools like: Airflow, Prefect or Luigi
- Understanding of Data Governance, Data Warehousing and Data Modelling
- Good SQL knowledge
Business
- Able to communicate effectively, distill technical knowledge into digestible
- messages in a succinct / visual way
- Proactively identify and contribute with team development initiatives, and
- supporting junior members.
Good to have skills
- Infrastructure-as-Code, preferably Terraform
- Docker and Kubernetes
- Looker
- AI / ML engineering knowledge
- Lineage, or relevant tools e.g. Atlan
- DBT
At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.
Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.
We look forward to receiving your application!
Best of luck,
Your Yassir TA Team
Similar Jobs
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Design, build, and maintain scalable cloud-native data pipelines for trade lifecycle processing. Ingest, transform, and normalize high-volume financial data (DTCC, ISO15022), implement MQ/API-based ingestion, optimize SQL Server performance, maintain UTR schemas and trade exception databases, ensure data quality, lineage and governance, and collaborate with reconciliation, settlements, and operations stakeholders.
Top Skills:
Aws EksAws RdsAws S3DockerDtcc RttmDtcc Settlement WebEtl/Elt FrameworksFixFxmlIbm MqIso 15022KafkaKubernetesRest ApisSQL ServerUnified Trade Record (Utr)
Software
Design, build, and maintain batch and real-time ETL/ELT data pipelines and workflows. Automate ingestion, aggregation and logging; ensure data accuracy, security, and compliance. Implement data warehouse and lake solutions, mentor junior engineers, and collaborate with stakeholders to meet business requirements.
Top Skills:
AdfAdls Gen2AirflowAthenaAWSAws QuicksightAzureAzure Sql DbAzure SynapseBigQueryCassandraData LakesData WarehousesEc2EmrFivetranGCPGlueGlue EtlHadoopHiveIamJavaLambdaMapreduceMatillionMongoDBNeo4JNumpyPandasPower BIPythonRdsRedisRedshiftS3ScalaSnowflakeSparkSQLStitchTableau
Consulting
Design, build, and maintain Power BI dashboards and semantic data models using Power BI and Microsoft Fabric. Optimize performance, troubleshoot dataset and refresh issues, ensure governance and data accuracy, and collaborate with stakeholders to modernize analytics platforms.
Top Skills:
Data Engineering PipelinesDataflows Gen2DaxDeployment PipelinesGatewaysLakehouseMicrosoft FabricPower Bi DesktopPower Bi ServicePower Query (M)Warehouse
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
