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Data Engineer supporting enterprise data migration and reporting transformation for a bank, using SQL, Hive, Impala, and Hadoop ecosystem tools for source-to-target mapping and ETL development.
The Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and data platforms to support business intelligence and machine learning initiatives. The role requires proficiency in SQL, Python, and ETL tools to ensure data integrity and system performance.
Senior Data Engineer responsible for designing and building scalable data pipelines and platforms using Snowflake and GCP, leading data migration initiatives, and managing metadata-driven architectures with a focus on documentation and governance.
Design and modernize enterprise data warehouse architectures, including data modeling, integration patterns, and governance, in a fully remote role.
The Data Engineer will design, build, and maintain scalable data pipelines, warehouses, and marts while ensuring data quality and security. The role involves collaborating with cross-functional teams using SQL, Python, and various data architecture tools to support business requirements.
The Data Engineer will design, create, and manage data warehouses and data marts while translating business requirements into efficient data engineering processes. The role involves collaborating with data modelers and providing technical consultation on data ingestion, integration, and quality management.
Data Engineer responsible for translating business requirements into data engineering processes, consulting analysts on data ingestion/exports, and collaboratively designing and managing Data Warehouse and Data Mart using big data frameworks, T-SQL, and containerization.
Technical Solutions Architect designing and optimizing scalable data platforms with Snowflake, Databricks, and lakehouse architectures in a pre-sales/consulting capacity.
Architects and leads large cloud data platform programs using Snowflake, Confluent Kafka, event-driven architecture, and CI/CD with GitHub Actions.
Build and operate enterprise-scale ETL/ELT data pipelines and knowledge graph infrastructure using Python, SQL, Google Spanner, BigQuery, Neo4j, and vector databases to support enterprise search and AI systems.
The Big Data Engineering Lead will oversee the development and maintenance of enterprise data pipelines, data models, and services while leading a high-performing engineering team. The role requires expertise in Python, PySpark, SQL, and modern data architecture patterns to ensure scalable and reliable data solutions.
Pre-sales Technical Solutions Architect focused on data engineering, helping enterprise customers design AI-ready data platforms using Snowflake and Databricks on major clouds while partnering with sales teams to shape services opportunities.
Leads end-to-end implementation of Alation and Profisee for data management, combining program leadership, stakeholder coordination, and technical oversight to ensure successful deployment and adoption in enterprise environments.
Designs and builds cloud-based data platforms and architectures in GCP, using Python, Spark, and SQL to enable analytics and reporting for business stakeholders.
Designs enterprise data architectures for BI, data engineering, and advanced analytics, guiding PoCs and aligning solutions with client business needs.
Lead the strategy, engineering, and operations of enterprise data governance platforms—including data catalog, MDM, data quality, metadata management, and lineage—to build a trusted, governed data foundation powering analytics and AI at a major payments company.
Hands-on Data Architect/BI Consultant designing and optimising cloud-based data warehouse and pipeline solutions across the Azure stack, guiding BI Developers on a hybrid basis in London.
Job Title Assessment Operations Team Manager Department: ELT Global Assessment, Publishing/Operations Location: Sector - 62, Noida, India About the Role Introduction Are you an experienced operations leader who enjoys…
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