... knowledge of Ontology, Pipeline Builder, Code Repositories, Workshop, Quiver, and Data Connections . - Proficiency in Python, PySpark, and SQL . - Experience in data pipelines, ETL/ELT, transformations, and data quality. - Experience integrating Foundry with cloud platforms, APIs, and databases . - Knowledge of React/TypeScript ...
Role : Data AnalystExp : 5 - 10 yrsLocation : Kodathi, Bangalore (Person must be currently in Bangalore)Skills : Data modeling, ETL, sql, data quality tools such as- Informatica, Alteryx, Ataccama, Python good to haveDomain : BankingShift : 12 - 9:30 PMCore Responsibilities :- Configure and maintain master data models, ...
... metadata repositories and data lineage documentation to track data transformations and dependencies. - Work closely with business analysts, data engineers, and data consumers to gather requirements and translate business needs into data models. - Partner with data architects to ensure data models conform to the data strategy ...
... converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset—a true data alchemist. ...
... deploy key infrastructure within the Azure Cloud supporting a wide variety of technology solutions. Working specifically with services in Azure such as Azure Data Lake, Azure Databricks, Azure SQL Data Warehouse, Azure Data Factory, Azure Service Bus, Azure Virtual Machines, Blob Storage, Azure SQL Database, Azure DNS, ...
... and Product teams to build scalable, secure, and reliable database platforms for mission-critical workloads. 8-12 years of experience as a Database Engineer, Database Administrator, or Database Architect. - Strong hands-on expertise in PostgreSQL, and Amazon Aurora . - Strong experience in database schema design, data modeling, ...
... provisioning to support infrastructure, applications, and services. - May perform standard and non-standard decommissioning (e.g., shutting down servers, removing data from databases) to remove objects that are no longer needed. Automation: - Identifies opportunities for automation and assesses potential benefits. - Develops ...
Key Responsibilities: Perform detailed readouts and analysis of FDR and CVR data to support aircraft health monitoring and return-to-service processes. Construct and manage dataframes for organizing and analyzing large datasets from flight recorders. Collaborate with cross-functional teams, including engineers and data ...
... deadlines are met. Develops and implements businesses standard work processes to increase efficiency on financial reporting. Review, analyze and evaluate financial data and information for accuracy, consistency and transparency. Maintain integrity of reports prepared by the DFCOE team. Validates data and reports outputs to ensure ...
... opportunity This role manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making. Supports the continuous evolution and strategy of data science capabilities. It also applies advanced data mining techniques ...
... and analytical thinking, and continuously adapt as technologies evolve , must drive an AI first sense of purpose and urgency. The Senior Regulatory Affairs Analyst is responsible for supporting Clinisys' global regulatory affairs activities to ensure ongoing compliance with applicable healthcare, medical device, software, ...
... Power BI and other tools like Tableau, SQL would be beneficial. - Familiarity with Google Cloud Platform would be good-to-have - Familiarity working with large data sets and creating cohesive stories - Experience of creating tables in database like AWS, Google Big Query etc - Familiarity with data platforms like Double Click ...
... Main Responsibilities - Responsible for CRF design (Unique) in the EDC database, screens design, Data Validation Plan writing, edit checks programming in EDC database as per the study specifications, and writing listings specifications. - Work closely with the Data Manager & Lead Data Manager responsible for the study under ...
... Specifications (DTS) for incoming and outgoing clinical data. Performs data extraction, transformation, cleansing, and formatting activities in accordance with approved data transfer specifications. Develops, executes, and documents data validation and quality control checks to ensure data accuracy, completeness, and integrity. Performs ...
... Experience : +6yrs About the Role We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform. The ideal candidate should have strong hands-on experience in GCP Data Engineering, BigQuery, Dataflow, Dataproc, Python/PySpark, ...
... our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients' success. The Enterprise Data Platforms team designs and delivers secure, scalable, cloud-native technology solutions that support critical business capabilities. The team brings together ...
... redefine the future of how work gets done. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready ...
... Use Python for data processing, automation, data validation, and integration workflows.- Design and maintain dimensional models, ODS structures, and enterprise data models for reporting and analytics.- Prepare and optimize data for BI and analytics platforms such as Qlik Sense, Power BI, and Tableau.- Collaborate with business, ...
... Technically familiar with the stack to recommend infrastructure improvements Desirable Skills Experience with Plotly library structure (For pictorial presentation of the data) Experience with Databricks/Database and schema knowledge Soft Skills Solid communications skills Negotiation skills with the highly technical SMEs
... experience in the Big Data Ecosystem. Design, implement, and optimize highly performant data pipelines using Spark, Scala/Java, and Hive on platforms like Cloudera Data Platform (CDP) or other Hadoop echo systems. Take complete ownership of complex data engineering projects within the big data ecosystem, covering the entire lifecycle ...