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... 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 ...
... senior stakeholders. - Experience governing enterprise-scale data products and applying modern data practices such as FAIR data, DCAM, ALCOA+ or pharmaceutical data standards. - Strong leadership, communication and influencing skills in a matrix organisation. - A master’s degree in data science, computer science, information ...
... 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 ...
... 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 ...
... 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, ...
Data Engineer: PySpark+AWS Glue 4-8 years in Data Engineering with hands-on expertise in Snowflake, AWS Glue, AWS (S3/Lambda/CloudWatch), Python, PySpark, and SQL. Strong experience in ETL/ELT, Data Warehousing, Data Pipelines, Performance Tuning, and Cloud Data Platforms. Exposure to AI/ML or GenAI solutions is a plus ...
... systems, and optimizing the data delivery architecture. Responsible to design, build, refactor, and maintain data pipelines using Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, and PySpark to meet business requirements for reporting, analysis, and data science Responsible to teach, adhere to, ...
... continuous career progression, and opportunities to lead high-impact global projects. - Degree in Engineering, Computer Science, Information Technology, Data Science, or a related discipline. Formal training or certification in Data provisioning will be preferred. Experience: · 5+ years of rich experience with Data provisioning ...