... regularly, ensuring compliance with audits and regulations. Incident Response: Lead responses to data breaches, privacy complaints, and access requests. Assist with data breach notification and remediation processes. Training and Awareness: Conduct privacy awareness programs and training for employees from time to time. Internal ...
... 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 ...
... reviews, and promote best practices across the data science team. - Stay updated with advancements in machine learning, deep learning, generative AI, and emerging data science methodologies. Must-Have Skills - 8–13 years of professional experience in Data Science, Machine Learning, or a closely related field. - Strong hands-on ...
... 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 ...
... manage projects in environments with evolving requirements and timelines. Required Qualifications, Experience & Skills: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. Experience: - 3+ years of professional experience in data science or applied ...
Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics) and a minimum of 3 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 ...
... 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 ...
... 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 ...
... 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 ...
... Stay updated with the latest trends and technologies in data engineering and cloud https://jobeax.com/link/tc87s3O0UluGFFwp Skills :- ADF, SQL, Pyspark, Python, DatabricksQualifications :- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.- Proven 6+ years of experience as a Data Engineer, ...
... 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
... Stay updated with the latest trends and technologies in data engineering and cloud https://jobeax.com/link/tc87s3O0UluGFFwp Skills :- ADF, SQL, Pyspark, Python, DatabricksQualifications :- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.- Proven 6+ years of experience as a Data Engineer, ...
... regulatory, security, privacy, and compliance requirements into clear OneTrust design recommendations, process flows, questionnaire structures, control mappings, data requirements, and reporting needs. • Advise configuration and implementation teams during configuration sessions, review proposed designs, and validate that the ...
... software updates, maintenance and AMC activities. - Maintain IT inventory, software licences and asset registers. - Perform regular system backups and support data recovery processes. - Ensure compliance with company IT policies, cybersecurity standards and data privacy requirements. - Support audio-visual equipment for ...
... that impact a wide range of business functions, utilizing the latest cloud-native technologies and best practices. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. - 6 to 9 years of professional experience in full-stack development. - Proficiency in modern frontend technologies ...
... media, and analytics Showcase expertise in content marketing in creating engaging and impactful content across various platforms. Demonstrate proficiency in data analytics tools and possess the ability to interpret data to make informed marketing decisions. Stay abreast of AI and machine learning trends in marketing , ...