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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Expert in engineering modern warehouse technologies and processes ( Redshift, Snowflake, Netezza, Teradata, BigQuery, Presto, etc. Our data warehouse, based on S3 and Redshift, has petabytes of data and forms the base of many data products we have at TuneIn.
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Familiarity with the differences between data engineering concepts like Data Mesh, Data Lake, Data Warehouse, Data Fabric, and Data Lakehouse. In this role, you will evolve our data warehouse schema, solidify our transform architecture, and establish data governance patterns to serve our internal and external analytics needs.
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Proficient in Data Warehouse technologies (e.g. Snowflake, AWS Redshift, etc) and in AWS data pipelines (Lambda, AWS glue, Step functions, Airflow etc) We're searching for a passionate tech lead for Data Engineering team to join our dynamic team and play a pivotal role in shaping the future.
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Background in Data Engineering, 5+ years of experience building and maintaining scalable data infrastructure, including distributed processing solutions (e.g. Spark), cloud-based data lakes and warehouses (e.g. Databricks, Snowflake, BigQuery), workflow management (e.g. Airflow, Luigi), and data transformation tools (e.g. DBT.
$159,400 - $210,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The role includes responsibility for all aspects of a project and people management, including:- Strong influence, persuasion, and excellent configuration and development skills to seamlessly integrate with front-end solutions (B2B e-Commerce, Apple Online Store, Point of Sale, Apple Care, and Apple Service Engineering) and other back-end solutions (SAP Retail, Data Warehouse.
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For advancing our robotics moonshot by scaling our data engineering efforts. Provide hands-on support in ETL processes and data pipeline construction for automated reporting and analytical solutions.
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It’s Important To Us That You Have-3+ years of experience in large-scale data engineering, including tools such as Redshift, Big Query, Databricks, Hadoop, Spark, PySpark-Strong understanding of distributed systems architecture and data processing.
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The Data Warehouse Manager will also recruit and manage a strong engineering team, set direction, set goals, plan for their career growth, and provide mentorship for the team. The Data Warehouse Manager will be responsible and take ownership in supporting the EIA data and analytics portfolio that includes, but is not limited to, resources that manage back-end data curation, data visualization, business data strategy, data governance, and other data warehousing and data science needs in the future to support the needs of EIA. This role will also work closely with other UCSF IT teams.
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UCSF IT Enterprise Information and Analytics (EIA) department is looking for a Data Warehouse Manager to join the team. In addition, the Data Warehouse Manager on the Enterprise Information & Analytics - Health team will be responsible for developing and implementing an enterprise data strategy that aligns enterprise information assets with business and technology strategy.
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The following experience may be gained concurrently with the number of years of required experience, not in addition to: 5 years of experience writing SQL and PL/SQL queries; 5 years of experience performing data development, engineering solutions and developing IT documentations; 5 years of experience with Extract, Transform and Load (ETL) or Extract, Load, Transform (ELT) technologies including DataStage and Informatica.
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DW ETL Developer having experience in ETL ,Data warehouse development and experience in SSIS (SQL Server Integration Services) ,Banking Domain and Agile knowledge preferred. PRIMARY COMPETENCY : Analytics PRIMARY SKILL : BI/DW / ETL PRIMARY SKILL PERCENTAGE : 80 SECONDARY COMPETENCY : Data Engineering SECONDARY SKILL : Microsoft SSIS/SSRS/T-SQL SECONDARY SKILL PERCENTAGE : 20.
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Create, construct, and uphold scalable data models and transformations utilising DBT alongside Snowflake, guaranteeing the efficient transformation and loading of data from various sources into the data warehouse.
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As a Product Manager focused on our connector ecosystem, you'll be working closely with engineering and partnerships teams to scale our integration our catalog of 200+ apps, tools, and data products.
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Knowledge of the CFS and Peoplesoft systems, Financial Data Warehouse, and governmental accounting. Lead Accounting Specialist (Administrative Analyst/Specialist Exempt I) - College of Science & Engineering/Dean's Office.
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data engineering warehouse jobs in Oakland, CA
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