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Sr. Data Engineer on Slack's Enterprise team at Salesforce, designing and scaling batch and real-time data pipelines, building scalable data models, and contributing to the GovSlack initiative. Core technologies include SQL, Python, Airflow, and data warehouse/OLAP environments.
Develops and maintains Dodeca-based financial reporting and analytical solutions, focusing on Essbase integration, multidimensional financial modeling, and compliance-driven reporting for Wells Fargo’s finance teams.
The Senior Data Architect will lead the migration of legacy Microsoft BI and WPS data warehouse systems to a modern Databricks Lakehouse architecture on AWS. This role involves defining data strategy, establishing governance standards, and ensuring scalable, secure data management across the organization.
The Lead Data Engineer will design, develop, and optimize enterprise-scale ETL/ELT pipelines and data processing solutions using Azure technologies like Synapse, Databricks, and Spark. The role involves leading technical initiatives, mentoring team members, and ensuring data quality and platform reliability.
Architect, engineer, and govern the enterprise Semantic Layer, designing reusable data models, security frameworks, and metric definitions using Microsoft Fabric, SQL, DAX, and Power BI tools.
About us GRXST Software Services Pvt Ltd, part of the esteemed GXS Bank Pte Ltd group of companies is technology center of excellence the digibank's operations across Singapore, Malaysia, and Indonesia. Driven by…
Design, develop, test, and deploy database code (SQL, stored procedures, ETL pipelines) powering financial data applications and reporting solutions on MySQL/RDS and Snowflake at a fintech lender.
Senior Data Engineer building and optimizing Snowflake data warehouses, ELT pipelines, and SQL-based solutions to support analytics and finance use cases at a fintech lending platform.
Data Engineer II building and maintaining scalable data pipelines, data models, and integrations on an enterprise data warehouse (SAP HANA, AWS, Snowflake, dbt) to support regulated payments and e-money financial reporting.
The Enterprise Data & AI Architect will lead a small BI/analytics team to maintain and expand a production-grade data intelligence platform using SQL Server, Microsoft Fabric, and Power BI. The role involves hands-on development of data pipelines, AI-assisted workflows, and financial reporting models to support the company's digital transformation.
Lead the design and evolution of an enterprise AWS data platform, building scalable data pipelines and setting engineering standards for a global digital signage and customer experience company.
Data Engineer supporting DEA's case management modernization, designing and maintaining scalable ETL pipelines for data ingestion, migration, and integration using SQL, Python, and cloud data platforms.
Senior Data Engineer focused on Snowflake who designs and builds modern data platforms, develops data pipelines using Airflow/Dagster and dbt, and consults clients on data management and cloud architectures (AWS/Azure/GCP).
The Senior Data Engineer will design and develop scalable ETL/ELT pipelines and Lakehouse architectures using Databricks and Azure. The role involves optimizing data flows, implementing data governance, and collaborating with cross-functional teams to deliver data-driven solutions.
The Data & Analytics Engineer extracts, cleans, and analyzes university operational data using SQL and ETL tools to generate insights and reports for stakeholders, supporting strategic decision-making and process automation.
The Senior Data Engineer will manage and optimize database systems including MS SQL Server and PostgreSQL, while leading the migration of legacy SSIS pipelines to a modern data lakehouse environment. The role involves designing scalable data solutions, ensuring data governance, and collaborating with business stakeholders to translate requirements into technical data architectures.
Data Engineer Manager owning the full data lifecycle—ingestion, modeling, governance, quality, security—at Pixlr Group, building pipelines and managing a small team using SQL, Python, and modern cloud data platforms like Snowflake or BigQuery.
Builds and maintains Power BI dashboards/reports using Azure-based tools to translate business needs into actionable insights, ensuring data quality and stakeholder clarity.
The Senior Data Engineer will design and optimize scalable data platforms and pipelines using Microsoft Fabric, implementing Medallion architecture and building reliable data assets. The role requires expertise in SQL, Python/PySpark, and cloud data modeling to support analytics and business intelligence.
Own dbt transformation layers, define core business metrics, and build a semantic layer for a cybersecurity awareness SaaS platform using SQL, dbt, and cloud data warehouses.
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