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Job Description: The Senior Manager, Finance Analytics & Insights will be based in Hyderabad, India . In this position, you will report to the MEIAT Controller . The Senior Manager, Finance Analytics & Insights…
Senior BI Developer responsible for building, maintaining, and improving Alteryx workflows and Tableau reporting systems to drive business advancement through data-driven insights and automation.
Builds cloud-native data platforms and analytical applications for genomic data at petabyte scale, turning statistical genetics methods into scalable, high-performance commercial products. Bridges bioinformatics scientists, cloud engineers, and product teams to deliver APIs, UIs, and interactive query interfaces for population-scale health research.
Leads Azure Synapse Analytics migrations to Microsoft Fabric, designing data pipelines, optimizing performance, and ensuring governance across cloud-based data solutions.
Designs and implements Microsoft Sentinel-based security solutions for enterprise customers, focusing on architecture, automation, and security controls in Azure environments.
The Senior Data Engineer will design and maintain scalable batch and streaming data pipelines to support marketing and AI/ML initiatives for financial services clients. The role involves cloud-native architecture, data governance, and technical leadership within a hybrid-remote environment.
Designs and implements enterprise-scale data platforms using Databricks/AWS, builds data lakes and analytics solutions, and crafts long-term data strategies for clients.
This Senior Associate role at PwC focuses on building scalable data pipelines, ETL workflows, and machine learning models to drive data-driven insights for clients. The position requires expertise in Azure, Snowflake, and SQL, with a focus on healthcare analytics and advanced statistical modeling.
Design, develop, and maintain enterprise-scale Data Warehouse, Data Lake, and Lakehouse solutions using SQL, Python, cloud platforms, and ETL tools at U.S. Bank.
Leads enterprise-wide data engineering, analytics, and regulatory reporting for a fintech firm, designing scalable data pipelines, BI dashboards, and ensuring data quality/governance in banking domains like lending, risk, and payments.
Azure Data Engineer designing scalable data pipelines, building RESTful APIs for data integration, and managing containerized workloads on Kubernetes (AKS) using Azure Data Factory, Databricks, Synapse, and CI/CD practices.
Leads design and development of security automation solutions and data pipelines within FNF's ORCA program, using Python, Kubernetes, Terraform, orchestration platforms, and AI/LLM integration.
Product Management Analyst owning the roadmap and backlog for enterprise data products, running Scrum ceremonies, writing SQL to validate datasets, and partnering with data engineers and governance teams on a data platform.
12-month temporary data engineering role maintaining a cybersecurity security data lake on Azure Databricks, building automation for data ingestion, transformation, quality control, and API-based governance.
Senior Data Platform Engineer on Clio's Security/Logging Engineering team, designing and building scalable logging infrastructure, high-throughput data pipelines, and ELK/OpenSearch deployments at petabyte scale using streaming and cloud-native technologies.
Architect designing and governing SAP IBP/S/4HANA-based supply chain planning solutions with AI integration, creating blueprints, data flows, and integration strategies to optimize forecasting, demand/supply planning, and S&OP processes.
Data Engineer building and maintaining scalable data pipelines and infrastructure using Databricks, PySpark, Python, SQL, and Delta Lake to support Eli Lilly's scientific and business initiatives.
Designs and builds scalable data pipelines, ETL workflows, and warehouses to feed analytics and applications, using SQL, Python, and cloud tools.
Build and maintain scalable data pipelines and infrastructure to power analytics and compliance in a cloud-based big data environment.
Develops and implements fraud detection and prevention strategies for Citi's digital banking channels (Web/Mobile) using SAS and SQL to analyze large data volumes, build detection rules, and optimize fraud tools like IBM Trusteer and ThreatMetrix.
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