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5 years data warehousing development, implementation and support Remote Oracle Data Integrator ETL Developer duties: & Designed, developed, and maintained the data warehouse using Oracle database and Oracle Data Integrator (ODI) for ETL. & Work with stakeholders to gather and analyze requirements for data warehousing solutions.
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Expertise in modeling data in relational databases (e.g., PostgreSQL, MySQL) and file-based databases, ETL processes and data warehousing concepts. Implement best practices for data ingestion, transformation, and storage in AWS services such as S3, Glue, EMR, Athena, and Redshift.
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Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) Remote Data Analyst. Experience working in Databricks (including delta live tables, data lakehouse patterns, etc.
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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. Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Data Engineering - Capital One Software (Remote Eligible.
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Strong understanding of data warehousing concepts and experience with technologies such as Snowflake, Redshift, and/or BigQuery. The ideal candidate will have 2-3 years of data engineering experience and a strong background in API integration, data warehousing, ETL processes, and proficiency in SQL. Additionally, candidates should be comfortable working with data from multiple platforms and have digital media publishing experience.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Ideal candidates have 2+ years of Boomi ETL experience, knowledge of SQL/PL-SQL, and data warehousing. We are looking for a Boomi ETL Developer that can work hybrid (would consider fully remote for a Boomi SME) to create and manage reporting solutions for various departments.
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You will develop ETL pipelines, work with data sources, and ensure data accuracy. You will develop ETL pipelines, work with data sources, and ensure data accuracy.
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Required Skills and Experience Familiarity with data warehousing concepts and technologies. This is an onsite position located in Washington, DC. Remote work is not available for this position.
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At AssistRx, we are search for a full-time Integration Engineer with the relevant professional qualifications and experience to work with us to design and build our data warehousing and analytics capabilities.
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4+ years of data warehousing experience (Redshift, Snowflake, other) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Develop ETL routines that transfer data from various sources and loads into database platforms. Experience with Azure Data Factory. Experience with Python, C#, or Data Bricks. Experience with Snowflake.
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Experience with dbt. Medical, dental, vision, life, & short-term disability insurance. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local laws.
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Data warehousing and Data lake concepts, hands on experience deploying pipelines using Databricks. Data Engineering experience with Databricks is a must (certifications ideal but not required.
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New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Data EngineeringSan Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Data EngineeringRemote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, Data Engineering.
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Lead a team of developers with deep experience in machine learning, data pipelines, microservices, and full stack systems. Assist in decomposing the vision as articulated in the data strategy and defining the phases of delivery, assume ownership of the resulting team planning and execution tasks.
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