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Informatica (IICS/IDMC) Developer/Admin with Oracle SQL, Visio/Erwin, MS Project, Sybase, PowerCenter, JIRA, ADF, Tableau, MS Access, SQL Server, Snowflake, Azure Data Factory (ADF) and govt healthcare experience.
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Strong knowledge of data formats such as Parquet, Avro, ORC, XML, JSON, data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool) or Databricks, and AI/machine learning infrastructure needs.
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Persistence: Elasticsearch, Cassandra, SQL data stores, others. Technically Proficient: Deep expertise with both relational and non-relational data stores, Elasticsearch, Cassandra, MySQL, PostgreSQL. Familiarity with JVM-focused tech stacks, particularly server-side Kotlin and gRPC.
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Experience with specific technologies including (but aren't limited to) Golang, JavaScript, Java, GRPC / Protocol Buffers, MQTT, JSON, HTTP, SQL (Postgres), AWS, and GCP. Experience with data serialization formats, specifically Protocol Buffers and JSON.
$116,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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GCP Experience – BigQuery, Cloud SQL, Python, Cloud composer/Airflow , Cloud Storage & Dataflow/Data Fusion. Perform all Data Engineering job activities EDW/ETL project development/testing and deployment activities.
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Minimum 12+ years of experience working in financial services with a strong understanding of investment management dataPreferred QualificationsCFA certificationSubject matter expertise with the Financial Asset Management Industry domains along with experience with external vendor products Including Eagle Data Management, Rimes, BlackRock Aladdin, State Street, Morningstar, and Bloomberg.
$150,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred. - Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Experience with AWS (eg Aurora, Redshift), SQL Server, Snowflake, Databricks or similar. Our data science, cloud-native software, and passion for customer success deliver the highest ROI, fastest time to value, and highest customer satisfaction.
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Expert experience in backend SQL database development with large data sets. Extensive experience optimizing database performance using T-SQL and PL/SQL for efficient data retrieval.
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Technical Proficiency: Proficiency in data analysis tools (e.g., SQL, Excel, BI tools) and a solid understanding of software testing principles. Strategic Planning Support: Assist in strategic planning efforts with data-driven insights and comprehensive documentation, helping to prioritize initiatives with the greatest potential impact.
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Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results.
$85,900 - $179,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on strong Java frontend and backend programming, J2EE, hands-on experience with Spring Framework, Spring Boot, Spring MVC, RDMS databases like (Oracle, PostgreSQL, SQL Server), File systems, Designing Large scale Applications and AWS.
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Be comfortable navigating the following technology stack: S3, Kubernetes, KubeFlow, Spark, SQL, Impala, Scala, java, Python, scripting (Bash/Python) etc. We are also the engine that drives a fully functional world class data warehouse on top of Hadoop, this means providing tools to define data cubes and syncing high load of data from a processing Hadoop to other systems using in-house built Applications.
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