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Builds and maintains data pipelines for defense/intelligence, handling ingestion, transformation, and quality checks of structured/unstructured data in secure environments using Python, SQL, and Docker.
Senior AI Engineer builds secure RAG/LLM systems and NLP pipelines for defense intel, integrating legacy data and ensuring DoD compliance.
This role focuses on data quality assurance, requiring the candidate to validate ETL/ELT processes, perform source-to-target reconciliation, and investigate data discrepancies using complex SQL queries. The position involves testing data integrity across reports and dashboards while leveraging AI tools to enhance testing productivity.
A QA engineer focused on validating ETL/ELT pipelines and SQL-based data transformations, ensuring accuracy and consistency for business reporting by writing test scenarios and resolving data issues.
Mandatory Skills: Strong Python (test frameworks, libraries, CLI tools); advanced SQL Hands-on DBT, Airflow, Snowflake or similar; ETL/ELT and data modeling Great Expectations/Soda; lineage and catalog systems…
Data Engineer at an AI-enabled software consultancy building, deploying, and monitoring performant data pipelines for Fortune 1000 clients using SQL, MPP platforms (Snowflake, Databricks, etc.), cloud services, and transformation tools.
Azure Data Engineer building ETL/ELT pipelines and scalable data solutions using Azure Data Factory, Databricks, SQL, and Data Lake Storage, with cloud migration responsibilities.
The Senior Data Analytics Engineer will develop and enhance Oracle-based data warehouse infrastructure to support enterprise-wide Power BI analytics and reporting. The role involves bridging technical data engineering with business intelligence to provide actionable insights to stakeholders.
The Data Engineer & AI Specialist will design and manage scalable data pipelines and AI models to support quality and manufacturing operations. The role involves using Python, SQL, cloud platforms, and Power BI to generate actionable insights and drive digital transformation.
The Data Platform Engineer will design and maintain scalable data pipelines and infrastructure to support analytics and AI-driven products. The role involves collaborating with data scientists to build robust ETL/ELT processes using SQL, Python, and cloud data warehouse technologies.
The Senior Data Platform Engineer will design and manage an enterprise data platform using Microsoft Fabric to support analytics, AI, and BI initiatives. The role involves building data pipelines, ensuring data quality, and mentoring team members.
The Cloud Data Engineer will build and maintain ETL/ELT pipelines and develop data transformations using Python and SQL. The role involves supporting batch and real-time data processing across cloud platforms like Snowflake, AWS, Azure, or Google Cloud.
Design, build and operate an enterprise Lakehouse data platform on Microsoft Fabric, developing ETL/ELT pipelines and data ingestion from ERP, manufacturing and supply chain systems for a large Malaysian agrofood group.
Senior Data Engineer in Kuala Lumpur designing and maintaining data pipelines, data models, and BI dashboards using AWS serverless services (Glue, Redshift, Aurora, Lambda, RDS), Python/PySpark/SQL, and SAP/Power BI.
Senior Data Engineer building and optimizing ETL/ELT pipelines, data lakes, and data warehouses across cloud and on-prem environments using SQL and Python/Java/Scala, with exposure to BI tools and ML lifecycles.
Designs and maintains scalable data pipelines and cloud-based analytics infrastructure for a healthcare company, ensuring data quality, security, and AI-readiness while collaborating with data scientists and stakeholders.
Data Engineer at CARiNG Pharmacy designing and maintaining scalable data pipelines, ETL/ELT processes, and cloud-based data infrastructure (GCP/BigQuery) to support analytics and AI initiatives.
Data Engineer designing and maintaining a central data platform (Databricks, Snowflake, Python, SQL) supporting analytics and AI/ML workloads at a precision instruments company.
Builds and maintains data pipelines, migrating systems to a new framework while ensuring data quality, integrity, and reliability using Python, Java, Kafka, Airflow, and cloud storage solutions.
Data engineer designing scalable ETL/ELT pipelines with Python, Shell, and SQL on Hadoop/Linux infrastructure, collaborating with stakeholders to align technical solutions with business needs.
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