... prediction and forecasting tasks on tabular/text datasets. - Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. - Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to support model development. - Build and deploy end-to-end ...
... of experience in software engineering. - Strong proficiency in at least one programming language such as Go or Python. - Experience building and maintaining backend systems, internal tools, or platform applications in production environments. - Strong understanding of software engineering fundamentals, including data structures, ...
... & 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, ...
Role Overview:Seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, Real-Time Data Processing, Lakehouse Architecture, and AI-driven solutions. The role involves designing, developing, and supporting scalable data platforms and streaming pipelines, leveraging modern Databricks capabilities such ...
... integration, and end-to-end tests to support high-quality software delivery Follow established frontend architecture, coding standards, and code review processes Mentor entry-level developers through code reviews, pair programming, and technical guidance Collaborate with UI/UX designers, backend engineers, QA, and DevOps teams Contribute ...
... 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 ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. AWS AI Services Minimum 3 Year(s) ...
... 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 ...
... OpenTelemetry**: Deep understanding of metrics, traces, logs formats and semantic conventions - **Database Knowledge**: PostgreSQL optimization for telemetry data - **Data Visualization**: Statistical analysis, correlation detection, anomaly identification through visual patterns - **Programming**: Python/Go for data pipeline ...
... bring We are looking for an experienced Data Governance Lead who can improve 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 ...
... 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 ...
... worldwide. Role Summary: The Data Architect is responsible for the design and evolution of our enterprise data architecture, with a strong focus on reusable data pipelines, data schemas & products, and modern data engineering practices. This role requires an AI-first mindset in data engineering and data modeling activities ...
... members of IT, including business analysts, database administrators, and managers, to design and develop Cognos reporting capability- Exhibit a commitment to data quality by validating results against sources specified in the requirements- Develop and maintain stored procedures- Write and support queries against databases ...
... 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 ...
... improving technical safeguards that protect sensitive corporate and customer data across cloud, endpoint, and enterprise environments. As a subject matter expert in data security and privacy engineering, this individual deploys and tunes data discovery, classification, DLP, encryption, and key management controls. The Data Protection ...
... 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, ...