Experience : 7+ years of experience in Data Engineering, Data Quality, or Data Governance. 3+ years of experience working on AWS Data Platforms. Strong hands-on expertise in: - Python - SQL - Data Quality Engineering - Data Profiling - Data Validation Frameworks - Experience building AI-powered data quality and governance ...
... Python for data engineering workloads.- Demonstrated experience building ETL/ELT pipelines that transform and process large volumes of structured and unstructured data.- Solid understanding of data warehousing concepts and data modelling techniques (e.g. dimensional modelling, slowly changing dimensions).- Hands-on experience ...
... production-ready Tableau dashboards. ~ Data Querying (Mandatory): Expert-level command of SQL for data extraction and manipulation. - Proven experience working with data in the Fintech, Banking, or Financial Services sectors. - Soft Skills: Proven ability to engage with non-technical business leaders to understand their data needs ...
... bringing passion and customer focus to the business. Data Engineer (data integration and streaming platforms) Data Engineer with strong experience in event-driven data integration and streaming platforms, ideally with hands-on expertise in Confluent Kafka and CDC technologies. Experience Strong Data Engineering background, including ...
... actionable insights, and build scalable analytical workflows.- Design and implement AI-powered applications using LLMs, RAG frameworks, AI Agents, and Prompt Engineering techniques.- Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions.- Mentor junior team members ...
... Azure . Ensure data quality, governance, reliability, monitoring, and compliance. Partner with Data Scientists, Fraud Analysts, and Engineering teams to deliver data-driven solutions. 4+ years of experience in Data Engineering or Big Data Engineering. - 2+ years of experience building large-scale distributed data processing ...
... company culture revolves around maximizing decision velocity and minimizing decision risk for enterprises ambitious enough to make data their voice. Data Engineering Excellence : Design and implement data pipelines using formats like JSON, Parquet, CSV, and ORC, utilizing batch and streaming ingestion. Cloud Data Migration ...
... and acceptance criteria. - Hands-on experience with data validation, reconciliation, source-to-target mapping, UAT, and defect management. - Understanding of data flows, cloud platforms, data repositories, and reporting/visualization layers; experience working with Engineering, Data, Analytics, and Technology teams in Agile ...
... Collaborate with the broader project team to understand data requirements and deliver effective solutions.- Troubleshoot and resolve issues in data pipelines and data quality to ensure accuracy and availability.- Contribute to documentation and adhere to data engineering best practices.- Support the team in various data-related ...
... rigorous analyses, testing assumptions and interpreting complex results. Strong data-wrangling and cleaning skills, including working with large or imperfect datasets, resolving quality issues and developing reproducible data pipelines. Strong machine learning experience, including model selection, feature engineering, ...
... components, including Azure Data Lake Storage, Databricks Delta Lake, and Azure DevOps. Develop reusable, modular, and maintainable code following software engineering best practices and coding standard. Optimize application performance, scalability, and reliability for high-volume data processing workloads. Implement automated ...
... focus on Java, Microservices and Kafka Java Microservices Back end Developer Java Sprint boot Microservices with expected knowledge of Kafka, Basic knowledge of Database. Experience with TDD and BDD. Must have experience with one of cloud (GCP, AWS or Azure). Also experience with Kubernetes and containers - Hands-on experience ...
... Develop highly available data ingestion and processing systems for large datasets. Collaborate with cross-functional teams to deliver data solutions. Ensure data quality, performance, reliability, and scalability. Required Skills: - 7+ years of Data Engineering experience. - Strong experience in Data Modeling, Data Warehousing, ...
Role Overview : We are seeking a seasoned Data Engineering professional to spearhead our data architecture initiatives and drive the evolution of our analytical ecosystem. In this role, you will be responsible for designing robust data models and optimizing our Snowflake-based data warehousing environment to support complex ...
Project Role: Associate Data Team Lead/Data Team Lead Work Experience: 8+ Years. Work Mode: Hybrid/Homebased Clinical data management, Rave, SSU experience. Shift Timings: 5:00 am -2:00 pm / 2:00 pm – 11:00 pm The shift assignment is purely based on project requirements and the candidate must be open to working in either ...
... accuracy across the network. Define and maintain strict access control, governance, and data privacy standard practices across the global insights platform. Engineering Hygiene & DevOps Packaged and deploy data services using Docker and Kubernetes. Maintain elegant CI/CD automation pipelines for data code deployments and ...
... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...
... Supporting ad-hoc data analysis and business reporting requests Validating data accuracy, consistency, and completeness Investigating data discrepancies and resolving data quality issues Preparing analytical summaries and presenting findings to stakeholders Collaborating with business and technical teams to understand data requirements ...
... model monitoring approaches - Strong understanding of data engineering and model integration patterns, including working with SQL, batch pipelines, streaming data, APIs, and application services - Familiarity with observability and operational tooling such as Azure Monitor, Application Insights, MLflow tracking, Datadog, ...
... data science and ML, with at least 2 years leading projects or teams in a pharma consulting or client-facing setting. - A Bachelor's or Master's degree in engineering, statistics, mathematics or a relevant quantitative field. - Experience with life sciences data, such as claims (Komodo, IQVIA, Symphony), specialty pharmacy, ...