Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.

Work with the Database Engineer and Developer to carry out the development of the data warehouse based on the requirements using PostgreSQL, SQL Server Integration Services, SQL Server Management Studio, Snowflake, Python, PySpark, Azure Data Factory and Azure Data Bricks.

Execute the HW Analytics Strategy that includes building a modern Unified Data Warehouse, expanded Self-Service, and Data Science capabilities. Modern Data Stack experience (Snowflake, Synpase, Databricks, Redshift, DBT, and/or Airflow.

Responsibilities: Performant has an immediate opening for a Sr. Data Warehouse Architect/EDI Specialist. Technical expertise in enterprise-class data warehouse solutions and services, including advanced skills in areas such as:•Data warehousing methodologies and modelling techniques (Kimball, 3NF, Star Schema, Dimension modeling, Data Marts, Operational Data Stores, Data Vault 2.0 a plus)•Demonstrated skills with Matillion, WhereScape RED / 3D / Data Vault Express automation tools for SQL Server or Snowflake target destinations.

Design, implement, and optimize ETL/ELT processes for the extraction, transformation, and loading of data from various sources into our data warehouse. Experience with data warehousing and analytics projects within Microsoft Azure Cloud (preference Azure Data Factory, Snowflake)Experience with PowerBI, Tableau or other data visualization toolsExtensive experience writing complex SQL queries and evaluating execution plans.

Build data engineering solutions in a Databricks/Azure data ecosystem that includes an enterprise data lake, data warehouse, and streaming analytics. Engineering experience in big data environments, including data lakes, Azure Synapse, Databricks, Redshift, Snowflake.

O Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.

Key Responsibilities: Spearhead the analysis and strategy for migrating data warehouse systems to Oracle Cloud, establishing a robust Master Data Management (MDM) framework for enhanced data exchange and governance.

Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.

Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.

Designing, building and maintaining data ETL/ELT pipelines to source and aggregate the required data for various data analyses and reporting needs, as well as to continually improve the operations, monitoring and performance of the data warehouse.

Our paid market survey participants originate from all backgrounds and markets including data entry clerk, administrative assistant, receptionist, sales assistant, customer service agent, warehouse or factory workers, chauffeur, medical assistant, nurse, phone call facility representative, etc.

Data entry or administrative assistant experience is not needed but can be a bonus We are recruiting those who have a background in health care, warehouse worker, delivery drivers, customer service, etc - we welcome all backgrounds so long as you're ready to learn JOB PAY up to $250hr.

5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT. Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow.

Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.