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Migrate legacy data to new enterprise systems using SQL, Hive, and Impala; analyze, map, and validate data while rebuilding reports.
Build and migrate data pipelines for a banking client, rewriting SQL/Hive/Impala scripts to move legacy reports and datasets into new enterprise data marts.
Migrate banking data from legacy systems to new data marts using SQL, Hive, and Impala; map data flows and document transformations.
Build and maintain scalable data pipelines, AI/ML Ops, and full-stack platforms for a global bank, ensuring data quality, governance, and security across hybrid cloud architectures.
6-month contract, renewable Government project Hybrid work arrangement We are seeking one Data Engineer to establish and maintain the data infrastructure required to integrate, process, govern and use these data…
Builds and optimizes ETL/ELT pipelines in Databricks using Spark SQL and Python to transform raw insurance data into clean, analytics-ready datasets for data scientists and analysts.
Build and maintain scalable data pipelines on Databricks using Delta Lake, Unity Catalog, and SQL to turn raw data into business insights.
Informatica Data Lakehouse – Platform Administrator & Support Engineer Working Model: Onsite Experience: 5–8 years Engagement: 12 month FIXED term contract My client is looking for an experienced Informatica…
Line of Service Advisory Industry/Sector Not Applicable Specialism Technology Strategy Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to…
Lead the setup and administration of Alation Data Catalog, integrating metadata from cloud platforms and automating governance workflows using SQL, Python, and APIs.
About the Role We are seeking a highly specialized Senior Data Integration Engineer to design, build, and maintain robust, scalable integrations across a complex enterprise ecosystem. This role focuses on enabling…
Build and maintain data pipelines, analytics, and AI solutions using SQL, Python, and visualization tools like Power BI for enterprise clients.
Designs and implements cloud/hybrid data pipelines, advanced analytics, and AI-driven solutions (e.g., ML models, dashboards) to transform raw data into actionable insights for enterprise clients. Core tech: Azure/AWS/GCP, Python/SQL, Spark, Kafka, and Azure OpenAI.
Build and scale ML Ops pipelines in Scala/Python, automate model deployment with Spark/Ray, and optimize cloud costs on AWS/GCP/Azure.
Senior Data Engineer builds and maintains scalable pipelines for telecom CDRs and real-time data using Kafka, Spark, and Flink, ensuring clean, query-ready datasets for analytics and ML.
Senior Data Engineer designs and governs enterprise-scale data platforms, virtualization layers, and real-time pipelines using Denodo, Qlik Talend/Replicate, and IBM WatsonX Orchestrate.
Build and maintain cloud-native data pipelines in Snowflake and AWS Lambda using SQL, Python, dbt, and orchestration tools to power analytics, billing, and AI/ML workloads for a gaming company.
Design and build scalable data pipelines, ETL processes, and dashboards for a media company using Azure, Databricks, Spark, and Python.
Designs and builds scalable data pipelines, ETL/ELT processes, and cloud-native data warehouses to support enterprise analytics and reporting using Azure, AWS, or GCP.
Build trusted data products that power enterprise decision-making for a South African financial institution, transforming raw data into analytics-ready datasets using SQL, ETL/ELT, and cloud platforms like Azure and Databricks.
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