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Data Integration and ETL: Develop and maintain data integration solutions using Salesforce APIs and BigQuery for the extraction, transformation, and loading of data from various sources into a structured data warehouse.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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6+ years experience in building and maintaining large-scale ETL/ELT pipelines (batching and/or streaming) that are optimized for performance and can handle data from various sources, structured or unstructured.
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Databricks Expertise: Optimize data processing by using your expertise in Databricks, develop Spark-based solutions, and enhance data integration and analytics capabilities. 5+ years’ experience as a Data Engineer with a deep understanding of data management, ETL pipelines and streaming data.
$150,900 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience in data engineering technologies, ETL processes, and data integration. Position Overview : As a Senior Software Engineer, you will collaborate closely with the data engineering team and work on developing and maintaining data pipelines, data processing applications, and data integration solutions.
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Knowledge of ETL processes and data integration tools (e.g., Informatica, AWS Glue ). Manage architectural standards for our AWS cloud-based UT Data Hub and Integration Hub.
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Must have Hand-on Experience in building HANA views using SDI/SDA and ETL process using Data Services. Must have experience with Integration technologies, such as Smart Data Access, SLT; virtual data modeling, HANA Studio, Hana Live / Core Data Services.
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Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources. Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy.
$173,000 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Proficient in SQL and Python programming languages- Solid knowledge of relational databases, data warehouses, data lakes, and data integration techniques. - Familiarity with cloud platforms (, AWS, Azure, GCP) and their data services, such as S, lambda functions etc.
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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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Must have: Working experience in dealing with big data and data integration. Solid Experience in managing data warehouses and ETL pipelines (Min. 2 years) Strong analytical and problem-solving skills (Math skills required for data analysis and design.
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Experience with ETL (Extraction, Transformation & Loading), architecting data systems, schema design, and data modeling. Experience with performing data analysis, data ingestion and data integration.
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Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master's degree in Computer Science or related field and 4 years' experience in software engineering or related field.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Solid knowledge of relational databases, data warehouses, data lakes, and data integration techniques. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services, such as S3, lambda functions etc.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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A data, analytics and ETL maven with the skills to migrate large scale data sets from one ERP/CIS platform to another. A minimum of 10 years of experience in Delivery Management specifically System Integration, Data Conversion, ETLs.
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data integration etl jobs in Cupertino, CA
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