... and update B2B enterprise CRM data into internal systems Perform data cleaning and data cleansing to remove duplicate, incomplete, or outdated records Conduct data validation to ensure accuracy, consistency, and reliability of CRM records Maintain and organize large datasets while ensuring data integrity and confidentiality ...
... physical data models for enterprise applications and data platforms - Create scalable and efficient models for financial data structures, including fund, LP, and GP data domains - Develop schema designs for both SQL and NoSQL databases - Work closely with business stakeholders, data architects, engineers, analysts, and product ...
... role is ideal for someone who is dynamic and hands-on , with the ability to use agentic tools efficiently to accelerate delivery across full-stack development, data engineering, and machine learning enablement . Job Responsibilities Design and build ML systems end-to-end : problem framing, data prep, feature engineering, ...
... Architecture of and administration of Big Data platforms - Data Warehouse Appliances , Open Data Lakes (AWS EMR, HortonWorks), Data Lake Technologies (AWS S3/Databricks/Other) and experience with ML and Data Science platforms (Spark ML , H2O , KNIME) - Develop and manage SPARK ETL Frameworks, Data orchestration with Airflow ...
... and track Provider Credentialing documents and data in processing systems and shared spreadsheets. Monitor faxes, files and other sources of incoming Provider data notifications to ensure that Provider credentialing data is processed in a timely manner. Communicate with providers to obtain updated documents as needed during ...
Hi All, W are hiring Data Engineers, 4-9 years experience with below mandatory Skills . Job Location : Pan India ( Tech M Location) Azure Databricks, ETL, Pyspark & SQL, Medallion architecture Informatica knowledge. Fact & dimension table Medallion architecture Data bricks certification preferable ADF, Databricks, Pyspark, ...
... background in Python, PySpark, and SQL, to join our growing data engineering team. The ideal candidate will have hands-on experience with cloud data platforms, data modelling, and a proven track record of building and optimising large-scale data pipelines in agile environments. Design, develop, and maintain robust data pipelines ...
... languages like Python, and SQL Solid understanding of data pipeline, data platform, data lake, data warehousing and analytics Research, design, and implement data modeling to solve complex problems Understand business requirements and translate into data pipelines and build data model transformations for reporting and analytics ...
... and ML technology Shield key processes and know-how on Statistical and ML Guarantee highest ML utilization Education: Mathematics/Physics/Engineering with a master's in business/data analytics or proven track record on Data Science Proven track record of minimum 5 years as a data scientist Coding capabilities in R and/or ...
... Python,Scala,SQL. Good to Have Skills: - Any of these add-on skills - Graph Database Modelling, Ontology, Semantic Data Modeling - Preferred understanding of Data Analytics on Cloud landscape and Data Lake knowledge. - Cloud Data Engineering, Cloud Data Integration - Must be familiar with Data Architecture Principles. Professional ...
BIU:Data Science Lead-Personalization COE INTERNAL USAGE: No. of Vacancies: Reports to: Is a Team leader Team Size: 8-10 Grade: Business: BIU Department: BIU Sub - Department: BIU Location: Mumbai/Bangalore About BIU Axis Banks (Business Intelligence Unit): This is a high profile team with a mandate to drive data based ...
... delivery is achieved through successive releases of features associated with the data scopes and uses prioritized with the different client business lines The Data Engineer works closely with the entire squad and especially the Product Owner, the Solution Architect, the Tech Lead and the business analysts The candidate will ...
... CRM, and products - Turn ambiguous data problems into fully-specced, buildable projects - Prioritize ruthlessly across a large backlog: which verticals, which data sources, which quality fixes come first, and why - Own the data quality feedback loop — define how we catch bad data before customers see it, and drive the process ...
... Purpose/ Summary We are looking for a skilled Data Engineer with 1-2 years of experience in designing, building, and maintaining scalable data pipelines and data platforms. The ideal candidate should have strong expertise in SQL, Databricks, and Azure Data Factory (ADF. and hands-on experience working with large datasets ...
... using Azure Databricks, Azure Data Factory and Azure Data Lake (Delta Lake) with Python being the main programming language and PySpark is used for large scale data engineering. About you: (education, linguistic ability, professional experience, leadership qualities, soft skills) Bachelor's or master's degree in a relevant ...
... stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is seeking an AI Data Analyst to help power the human evaluation system behind Glean’s AI product quality. This role sits at the centre of response quality, competitive benchmarking, ...
... observability for data systems. - Knowledge of data governance, metadata/catalogue tools, lineage and data quality frameworks (i.e. Strong grasp of security, data privacy and regulatory requirements (e.g., GDPR, data residency). - Professional certification such as Databricks or AWS (Solutions Architect / Specialty). Consulting ...
... - Solid understanding of data pipeline fundamentals, including ingestion, transformation, and 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. ...
... 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. ...
... track record of getting ML models into production - Hands-on experience with writing ML models with Python. - Prior experience in ML platforms and tools such as Dataiku, DataBricks, etc. Bachelor's degree in Computer Science, Information Technology, or related field (Master's degree preferred). Understanding of utilizing Agile ...