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This role spans the spectrum of data capabilities from data vision and strategy all the way through data science, in addition to cloud, DevSecOps, and integration capabilities.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Expertise in various COTS, GOTS, and open-source tools which support development of data integration and visualization applications. Proficient experience utilizing JavaScript, Elasticsearch, JSON, SQL, XML.Working knowledge with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis.
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Experience with Data Platforms such as Amazon Redshift and Snowflake. Independently manage Boomi data integration solutions with third-party tools and external data sources.
$96,757 - $143,766 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsible for data engineering functions including data extract, transformation, loading, integration in support of modern cloud computing platforms like AWS. 5 years' experience with AWS RDBMS services, such as PostgreSQL RDS and Redshift.
$87,069 - $148,017 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Utilize Python, SQL, GitHub, Redshift, Databricks, and dbt to design and secure data models, queries, and data integration workflows. Your expertise in compliance frameworks, coupled with your technical skills in Python, SQL, GitHub, Redshift, Databricks, and dbt, will be instrumental in driving the success of FanDuel's data security initiatives.
$158,000 - $208,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Working knowledge with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis. We are looking for a Data Engineer to interpret business needs and select appropriate technologies and have experience in implementing data governance of shared and/or master sets of data.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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As a Data Engineer, you will be required to interpret business needs and select appropriate technologies and have experience in implementing data governance of shared and/or master sets of data.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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2+ years of data warehousing experience (Redshift or Snowflake) Expert-level proficiency in Azure Data Factory, Integration Platforms, Python programming, DBT, and data modeling.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Integrate data pipelines with AWS cloud services to extract meaningful insights. Collaborate with the rest of data engineering team to design and launch new features. Direct Experience with DHS and Intelligence Community (IC) component's data architectures and environments (IC-GovCloud experience preferred.
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Familiarity with AWS data solutions such as S3 and Redshift. Experience with Spring Core, Spring Boot, Spring MVC, Spring Integration, Spring Security, and Spring Batch. Experience with web service applications on the server side using RESTful APIs, JSON/SOAP, XML, Apache, Tomcat, Maven, Eclipse/STS, GIT, etc.
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Demonstrated expertise with industry leading data infrastructure and tooling (e.g. AWS, Redshift, Snowflake, Tableau, etc) Develop a robust integration strategy that demonstrates customer-based thinking to make the lives of internal and external customers easier by delivering scalable, reliable and consistently defined (standardized) data solutions.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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5+ years hands-on experience with building cloud production data solutions leveraging services and technologies such as AWS EC2, S3, Redshift, RDS, Glue, Athena, Experience with Data Management methodologies and practices such as data warehousing, data integration (ETL/ELT), visualizations, metadata management, data security, data governance, data quality and analytics.
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Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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The candidate should have strong programming skills, proficiency in SQL and scripting languages, and experience with AWS data services such as S3, Glue, Redshift, and Athena. Responsibilities include designing, developing, and maintaining ETL pipelines, implementing data integration solutions on AWS cloud services, and optimizing data processing workflows.
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Experience with: § Terraform § Athena § Redshift § Glue § Containers § Kubernetes § GIT § AWS § IaaS § Ansible § ETL § AWS IAM · Occasional on-call evening support will be required. · Is cognizant, knowledgeable and contributes to all phases of software development with emphasis on the planning, analysis, modeling, simulation, testing, integration, documentation, and presentation phases.
Full-timeExpandApply NowActive JobUpdated 4 days ago
redshift data integration jobs in Mclean, VA
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