... establish best practices- Provide data management support to users- Ensure all database programs meet company and performance requirements- Research and suggest new database products, services and protocolsRequirements and skills : - Proven work experience as a Database developer (MongoDB/MySQL/MsSQL)- In-depth understanding of ...
... frameworks. Proficient in Python, PySpark, SQL - Profound experience in Spark based data lake & extended services like, Azure Databricks (Workflows/Jobs), Azure Data Factory, Azure Data Lake Storage Gen2, Delta Lake and Terraform - Experience with Git, CI/CD pipelines and Azure DevOps. - Expertise working with relational databases ...
... loading (ETL/ELT) processes. - Must have experience with batch data processing (scheduling, dependencies, failure recovery, performance tuning). - Knowledge of data warehousing concepts and familiarity with relational databases. - Experience working with structured and semi-structured data (CSV, Parquet, JSON, etc.). - Strong ...
... Bachelor's or Master's degree in Computer Science/Information Systems. At least 4+ years of experience in building data flow and data management on a modern big data tech stack. Strong experience in using ETL frameworks (e. g., Airflow, Jenkins) to build and deploy production-quality ETL pipelines. Knowledge of data structures. ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... in regulated industries (Pharma, Life Sciences, Banking). Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s) Enable high-quality, compliant data for analytics, ML, and GenAI workloads ...
... governance principles, data quality checks on each data layer. - A successful history of manipulating, processing and extracting value from large disconnected datasets. - Working knowledge of message queuing, stream processing, and highly scalable big data data stores. - Strong project management and organizational skills. ...
... and mitigate data risks throughout the data lifecycle, including protection, retention, storage, use, and quality l Partner with technology teams to capture data sources, formats, and data flows so that data can be validated for downstream analytics and reporting l Investigate and document potential data quality issues, ...
... data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow across various systems. Ensuring the accuracy and quality of data is a key part of your role, along with implementing processes to extract, transform, and load data effectively. Your work enables seamless data migration and ...
Position Overview: We are seeking a Senior Data Analyst to support ELC SOW 3, with a primary focus on business intelligence development, analytical asset creation, and data-driven insights. The role will contribute directly to the delivery of the first phase of the project and will be responsible for developing scalable, ...
... Senior Software Engineer for x360Sync is responsible for designing, building, and maintaining the macOS desktop agent application that keeps critical business data in sync for thousands of customers. Working in C++, Swift, and Objective-C, you will collaborate closely with a cross-functional engineering team to deliver reliable, ...
... product, and analysis capabilities as a Data Platform Engineering team. We work as the core platform team supporting multiple markets in their business-critical Data platform and shared capabilities. Design, develop, test, and deploy production-ready applications and data pipelines using Python, PySpark, and related technologies ...
... platform data into actionable insights that drive decision making. You will use Python and SQL to extract, clean, and analyze data, and contribute to building the data pipelines that feed your dashboards and analysis. You will build dashboards and reports, analyze key business and platform performance metrics, and work closely ...
Role Overview:As a Data Analyst at FourthPointer Services, you will serve as the bridge between raw data and strategic business insights. You will work closely with cross-functional teams and external stakeholders to identify trends, troubleshoot data inconsistencies, and build automated reporting structures. Your daily ...
... using Azure Data Factory, Synapse Pipelines, PySpark, and modern orchestration frameworks. Implement Medallion Architecture (Bronze/Silver/Gold) and scalable data ingestion frameworks supporting batch, streaming, and CDC workloads. Develop enterprise semantic models and optimize datasets for Power BI Premium, Fabric, and ...
... modeling, Data Vault, and enterprise data architecture principles. - Advanced SQL skills with experience in query optimization, performance tuning, and large-scale data processing. - Hands-on experience with distributed data processing frameworks such as Apache Spark. - Strong understanding of modern lakehouse technologies such ...
... management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key Responsibilities: Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures. Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval. ...
... customers. As a Data Scientist at Amazon Prime Video APAC and ANZ analytics team, you will have the opportunity to work on one of the world's largest consumer data sets, influence the long term evolution of our analytics capability and support the expansion of Amazon's digital video business. The Data Scientist will work ...
... sessions to our Learning Management Systems. Manage the team s shared inboxes, responding to queries in a timely manner. Pull reports from systems and other data sources to support team coordinators with dashboards. Maintain the team s training tracker and calendar of events. Schedule live training, wellbeing sessions ...