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Hands-on experience with Postgres SQL, RedShift, Redshift spectrum, AWS Glue, Athena, Snowflake utilities, Snow SQL, Snow Pipe, AWS Lambda model techniques using Python. Experience in Data Migration from RDBMS to Redshift/Snowflake cloud data warehouse.
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Skilled in modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Programming languages: Java, Pyspark, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Experience with modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Utilize programming languages like Java, Pyspark, Python and Open Source RDBMS and NoSQL databases, and Cloud-based data warehousing services such as Redshift and Snowflake.
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Proficiency in Python, PySpark Scala, Java, SQL, Airflow, dbt. Familiarity with Continuous Integration and Continuous Delivery systems and tools (Azure DevOps, GitHub). Experience with master data (MDM), metadata, and data governance tools.
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Expertise in ETL/ELT, SQL, and cloud data integration tools (Azure Data Factory, AWS Glue, Informatica). Our business is guided by our people helping people philosophy which includes our team members.
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The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Experience in master data (MDM), metadata, and data governance tools (Alation, Erwin, Collibra, Azure Purview). Experience with Continuous Integration and Continuous Delivery systems (Azure DevOps, GitHub.
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Expertise in ETL/ELT, SQL, and cloud data integration tools (Azure Data Factory, AWS Glue, Informatica, etc. Solid experience with cloud technologies (Azure, AWS, GCP). Mentorship and Leadership: Guide and support data engineering teams, enhancing business data processes and systems.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS. 4+ years of data warehousing experience (Redshift, Snowflake, other.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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AWS, Python, IAC, Infrastructure as Code, CloudFormation, CDK, Redshift, Glue, Lambda, DMS, Storage Gateway, Transfer Family, S3, Redshift, SQL, Terraform. We are looking for a bright, enthusiastic Cloud Engineer to be part of a lean team responsible for the maintenance and optimization of our AWS Data Lake infrastructure, including AWS Redshift, DMS, Glue, Storage Gateway, Transfer Family, Lambda, and S3.
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1+ years of experience working on AWS (Kinesis / S3 / RedShift / DMS / Athena ). RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Experience working job orchestration (eg., Airflow / Databricks Workflows.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
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Whether you’re telling a data story in ways our clients never imagined or building advanced AI models with automated data engineering, the core purpose will be centered on using data to impact people in a meaningful way.
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