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Understanding of database platforms (On-Prem & Cloud-based): SQL Server, MySQL, AWS Redshift, Google PostgreSQL, Oracle. Our Connectivity and Data Integration team works diligently to build order and resulting capabilities and secure data exchanges for providers and care teams across the country.
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Hands-on experience with data integration tools and technologies (e.g., ETL/ELT, APIs, messaging queues, Informatica, Talend, AWS Glue, AWS Step Functions, Fivetran, and Apache Airflow) Proficiency in database management systems, including relational databases (e.g., Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra.
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Hands-on development experience with Relational DBs (MS SQL Server, PostgreSQL, Oracle), as well as complex stored procedures and functions using SQL and optimization of SSIS packages and Redshift database queries.
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Minimum of 5 years using at least one ETL tool such as Microsoft SQL Server Integration Services (SSIS), Microsoft Azure Data Factory, AWS Glue, IBM InfoSphere DataStage, or any ETL applications.
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Expertise in SQL Server Management, Azure Data Factory Development, Databricks Engineering, Delta Parquet File Management, and SQL Server Integration Services.
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As a Senior Data Engineer on the MMA IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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We are seeking a highly skilled and experienced Data Engineer with a minimum of 7 years of hands-on experience in SQL, Snowflake, SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS), SFTP, and encryption technologies.
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The experience should be with requirements gathering, SQL, Data Integration tools such as Informatica Powercenter, Microsoft SSIS, Azure ADF and Data Warehousing techniques.
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Ability to work with large datasets in building pipelines, pipeline architectures and integrated datasets using traditional data integration technologies using APIs, SQL Server SSIS, etc.
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Anyone of the following certifications in SSIS, SSRS and Azure (e.g., MS Azure Developer, MS Azure Engineer, MS SQL Server Reporting, MS Azure Data Fundamentals) or a willingness to complete the certifications in the first year of employment Upon Hire.
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Architecture and implementation experience with data integration experience (Azure Data Factory, Databricks, Azure Synapse Analytics, SQL Server Integration Services, etc.
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It is desirable that the BI Lead have expert experience and/or knowledge related toData integration architecture and development using COTS product, expert knowledge in using Pentaho Data Integration in particularExperience with OpenShiftDatabase technologies and database server internals, SQL programming in ANSI and Oracle SQL. PostGres a plus.
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Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc. Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms and Data Streaming technologies, Cloud Azure and GCP platforms.
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Which meet defined requirements using SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS), Power BI, Python, ADF, T-SQL and other languages and tools.
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Skill in creating ETL solutions using SQL Server Integration Services (SSIS) or other equivalent technologies. Knowledge of message queuing technologies such as Kafka, Azure Service Bus, and stream data integration technologies or stream analytics technologies such as Apache Kafka KSQL, Spark Streaming and others.
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