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ETL tools Teradata, MS SQL Server, Data Transformation Services, Oracle SQL Developer, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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Traditional RDBMS (Teradata, Netezza, MS SQL Server, Oracle, MySQL, PostgreSQL) MPP (Snowflake, BigQuery, AWS Redshift etc.) Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake.
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NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch) Dev Ops (GitHub, Kubernetes Jenkins, Terraform) Data integration Tools (Informatica, Talend, etc.) Streaming Platform and Applications (Spark streaming, Kafka, Storm, etc.
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NET MVC, C#, Java, NodeJS, HTML, CSS, SASS, SQL Server, Oracle, MySQL, SQL, Queries, Functions, Stored Procedures, Azure Cosmos DB, MongoDB, Azure, AWS, Business Intelligence, ADF, SSIS, SSAS, SSRS, Power BI, Mobile Development Experience, Xamarin, Swift, Objective-C, CI/CD Pipeline, GitHub Actions, Azure Pipelines, Gitlab Runners.
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Strong understanding of SQL concepts must have experience in Oracle, SQL Server databases. Experience working with various Broker/Dealer products securities processing including Equities, Bonds, Treasuries, ABS, MBS, Securitized Products, Repos/Reverse Repo, Stock Borrow/Loan , settlements & clearing function.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required. Familiarity with Agile Scrum principles and ceremoniesPreferred Qualifications 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, exposure to reliability engineering best practices a plus.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Microservices; Apache Kafka; J2EE; Jenkins; Spring; Hibernate; Java; Javascript; Python; SQL; REST; SOAP; Maven; JSON; Dynatrace; Splunk; GIT; Cucumber; Junit; Automated Testing; Manual Testing; Regression Testing; System Integration Testing; and Unit Testing.
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Contemporary and innovative approach: Develop novel solutions using modern platforms (e.g., Cloud based platforms like Azure, AWS, GCP), languages/technologies (e.g., Python, Spark, SQL, DBT), Orchestration (ADF, Airflow, Dagster) and tools (e.g., Power BI), with an ability to build IP into reusable software.
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Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL. Programming Languages: Python, R, SQL, Java or Scala, SQL. Software Engineering & System Design: Requirement analysis, coding, and testing, version control, microservices architecture, building RestFul APIs, Distributed computing, architecture patterns, general understanding of computer architecture, Object-oriented programming concepts.
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Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL, Databricks) and Hadoop ecosystem. Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Working knowledge of data visualization software such as Tableau, Looker, or Domo. Working knowledge or coursework in data science and knowledge of data science languages such as R, SQL, and Python.
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Experience working in Agile/Scrum methodology in a fast-paced environment, with a history of delivering on deadlines and milestones in a high-growth setting. As a Senior Software Engineer specializing in APIs, you will play a critical role in architecting and maintaining the services that power our platform.
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Experience with SQL Server, Office 365, SharePoint, EDI, Azure, and Power BI is a plus. Strong understanding of D365 BC ERP software and related terminology, functionality, best practices, processes, and business rules.
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