... & Data Platform. You’ll design and maintain reliable, secure, and scalable data pipelines and models that power a new generation of reporting, insights, and data-driven products across the StarRez ecosystem. This role sits at the intersection of data, product, and engineering. You will work closely with Data Analysts, ...
... Unity Catalog.- Develop and support Lakeflow pipelines with incremental processing, CDC, and data quality validations.- Integrate enterprise systems into the Databricks Lakehouse.- Ensure data quality, governance, security, and operational excellence across platforms.- Monitor, troubleshoot, and optimize workflows for reliability ...
... DBs Proficiency in performance tuning, query optimization, and indexing strategies Hands-on experience with backup/restore strategies and disaster recovery planning Familiarity with cloud migration tools and hybrid environments Knowledge of SSIS, SSRS, and SSAS Understanding of data governance and compliance frameworks
... for critical database incidents. Establish governance frameworks, operational procedures, standards, and best practices for database management. Mentor junior database administrators and provide technical leadership across database initiatives. Expertise You'll Bring: - 10-15 years of experience as a SQL Server Database ...
Administers, analyzes, and prioritizes systems issues and negotiates a course of action for resolution. Supports work flow and solutions; trouble shoots user errors and supports reporting capabilities. Utilizes system monitoring utilities to monitor system availability. Extracts and compiles data system monitoring data ...
... root cause analysis to improve data quality. Data Governance Define and implement data governance frameworks, policies, and standards. Ensure compliance with data quality, data privacy, and regulatory requirements. Establish data lineage, metadata management, and data stewardship practices. Monitor and improve data quality ...
... evolving data needs, fostering collaboration with different teams to support organizational objectives. Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. Monitor and optimize data workflows to enhance performance and reliability. Document data processes and maintain ...
... Experience with system integration, implementation, upgrades, migrations, or technology modernization. - Good understanding of application, infrastructure, cloud, database, networking, or platform technologies relevant to the role. - Familiarity with automation, monitoring, DevOps, CI/CD, cloud platforms, or modern engineering ...
... model accuracy, scalability, and reliability. - Work with large and complex datasets to identify meaningful patterns, trends, and insights. - Collaborate with data engineering teams to establish effective data pipelines and ensure high-quality data availability for modeling. - Partner with product and business stakeholders ...
... business processes through the practical use of data and AI, and deliver trusted data for enterprise solutions. You will bring: - At least 10 years of experience in data governance, data management or a related field. - Deep knowledge of data governance principles, practices and frameworks, with experience building enterprise-wide ...
... modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks). The role requires strong applied modeling skills across structured and unstructured data, and experience deploying models into production environments. This position involves end-to-end ownership of data science initiatives, from problem framing and ...
... years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments • Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities • Excellent verbal ...
... pipelines in cloud or modern data platforms. - 4+ years of hands-on experience with Databricks or similar cloud-based lakehouse platforms supporting enterprise data lakes, data warehouses, and business intelligence - 2+ years of experience using dbt (or similar transformation frameworks) including model structuring, tests, ...
... in Cognos environment. This group oversees report development and enhancement, framework development, training, reporting governance, tuning, some aspects of data warehousing and Cognos system administration. The position involves effective understanding of business needs combined with a knowledge of pertinent data to design ...
... Time Series Forecasting techniques and real-world demand planning use cases. - Hands-on experience with Databricks , including Spark, notebooks, and distributed data processing. - Practical exposure to Machine Learning and Deep Learning model development and deployment. - Experience working with large, complex datasets in ...
... engineering workflows by providing structured guidance on secure data flows, storage patterns, logging, and access controls. Innovative - Applies forward-looking data protection strategies to address evolving cloud, collaboration, and SaaS risks, ensuring controls adapt to modern work patterns and distributed environments. ...
... https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities:- Design, develop, and maintain data pipelines.- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions.- Optimize data workflows for performance and scalability within the Azure environment.- Ensure data quality, ...
... features and data contracts. Build and ship models to: Enhance customer experiences and personalization Boost revenue via pricing/discount optimization Detect and block fraud/risk in real time Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS. Build monitoring for model/data drift and business KPIs
... https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities:- Design, develop, and maintain data pipelines.- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions.- Optimize data workflows for performance and scalability within the Azure environment.- Ensure data quality, ...