... building the platform capabilities (orchestration, CI/CD, testing frameworks, metadata) that data marts are built on. - Work closely with software engineering, analytics, operations, business and product teams, to understand and meet their platform and data requirements. - Ensure that all platform and data warehouse activities ...
... new market-leading Analytics platform. As a Data Engineer at StarRez, you will play a critical role in building and scaling the foundations of our Analytics & 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 ...
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 ...
... quantitative field - Experience with technical documentation or analytical publications - Experience designing assessments, benchmark questions or structured analytical tasks - Background in data annotation or evaluation task development - Experience creating technical reports involving statistics or data science - Previous ...
... quantitative field - Experience with technical documentation or analytical publications - Experience designing assessments, benchmark questions or structured analytical tasks - Background in data annotation or evaluation task development - Experience creating technical reports involving statistics or data science - Previous ...
... 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) ...
... and modern IT practices. - Experience working on large-scale technology projects, digital transformation, or enterprise infrastructure initiatives . - Strong analytical and problem-solving skills with the ability to troubleshoot complex technical issues. - Experience with system integration, implementation, upgrades, migrations, ...
... strong expertise in Data Science using Python, Machine Learning, and Deep Learning , along with the ability to translate complex business problems into scalable, data-driven solutions. In this role, you will work closely with engineering, product, analytics, and business teams to identify opportunities where data and AI can ...
... 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 ...
... to: - Define and maintain enterprise data models and domain boundaries using traditional and AI-enabled methods - Design and govern reusable data assets and data products - Establish standards and patterns for robust, scalable data pipelines - Ensure data is discoverable, trustworthy, and fit-for-purpose for analytics, ...
... 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 ...
Job Summary We are seeking an experienced Demand Forecasting Data Scientist with strong expertise in time series forecasting, machine learning, and supply chain analytics . The ideal candidate will have hands-on experience working with Databricks and Python , a deep understanding of demand planning use cases, and the ability ...
... 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 ...
... with a focus on ADF, Pyspark, Python, and SQL.- Proficiency in SQL and experience with programming languages such as Python or Scala.- Familiarity with Azure data services, including Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics.- Strong analytical and problem-solving skills with attention to detail.- ...
... 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
... with a focus on ADF, Pyspark, Python, and SQL.- Proficiency in SQL and experience with programming languages such as Python or Scala.- Familiarity with Azure data services, including Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics.- Strong analytical and problem-solving skills with attention to detail.- ...
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 ...