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Assist with data entry, data validation, and data corrections as needed to ensure accuracy and completeness of HR data. Manage user access, security roles, and permissions to ensure data integrity and compliance with regulatory requirements.
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Experience with Data Warehousing tools like Snowflake, Redshift, BigQuery, or Databricks. Familiarity with tools such as Collibra, Alation, or Informatica Axon for robust data governance and compliance.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
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Familiarity with recommending data governance best practices including MDM, security, privacy and policies. Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps.
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You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ's debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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Extensive experience working with Databricks and Azure Data Factory for data lake and data warehouse solutions. Hands-on experience with big data technologies (such as Hadoop, Spark, Kafka.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
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Basic Qualification : Java, NoSQL, PostgreSQL, Mongo, Casandra etc., Spring Boot, Spring MVC, Spring Data, Spring Security, React JS, Node JS, RESTful API, SOAP. Required Skills : Java, NoSQL, PostgreSQL, Mongo, Casandra etc., Spring Boot, Spring MVC, Spring Data, Spring Security, React JS, Node JS, RESTful API, SOAP.
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Thoroughly understand secure application design principals, including the areas of authentication, authorization/least privilege, logging, encryption, data masking, data retention, and secure data transmission.
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Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions (e.g. Eagle, State Street Alpha platform.
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Hands-on experience with On-prem & cloud data platforms such as Snowflake, AWS Redshift, Azure Synapse Analytics, Databricks, AWS Aurora, Oracle Exadata, SQL server, Hadoop, Spark, SAS and R. Experience in Implementing tools and services in data security and data governance domains such as data modeling, data classification, data access control, data masking, data quality, metadata management, catalog, auditing, balancing, reconciliation, and data privacy compliance like GDPR & CCPA.
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Data entry for bid tracking and monthly bid projections in Unanet; Regularly update Unanet CRM database (team resumes, project data, business contacts, opportunities, preconstruction.
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Adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Python Developer ,Machine Learning Engineer, iOS and Android, data scientist, and solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.
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data entry jobs Title: assistant in Charlotte, NC
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