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Familiarity with Data Warehousing tools like Snowflake, Redshift, BigQuery, or Databricks. Experience with data quality tools such as Great Expectations or dbt. Proven experience in data engineering, including ETL processes, data modeling, and data warehousing.
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Familiarity with data visualization tools like Tableau, Looker, or Power BI. Knowledge, Skills, and Abilities: Strong background in data modeling, data warehousing, and data quality assurance.
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Performs analyses, development, and evaluation of data mining in the Snowflake cloud data warehouse environment which includes data design, database architecture, and data management utilizing Informatica PowerCenter, Intelligent Data Quality, and Enterprise Data Catalog.
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Broad experience desired, but not essential, in multiple domain areas, such as data warehousing, business intelligence (BI), data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, MDM, data standards, regulatory compliance, and enterprise architecture frameworks.
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Job Title: ETL Ab Initio Data Validation Engineer (SDET) Primary skills: Ab Initio, Pyspark, Hive Iceberg on Azure Datalake (ADLS) or Iceberg on Snowflake Database and OS: Oracle, DB2, SQL, Data Warehousing, Linux About the job We are seeking a highly skilled ETL Ab Initio Validation Engineer with expertise in Ab Initio and Snowflake or Azure Datalake to join our dynamic team within our organization.
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Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge and experience in applying data management concepts such as data architecture, data quality, metadata management, Data Warehousing and Business Intelligence, data integrity, data integration and interoperability, data governance, data security, data storage and operations.
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Understand and implement best practices in management of data, including master data, reference data, metadata, data quality and lineage. Acuity is looking for a Data Engineer to join our Engineering Team. In this position, you will apply your skills in data science, data analytics, and data warehousing to pioneer cloud and data services with our clients.
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Strong Data Integration and Data Warehousing experience with Snowflake Data Cloud and Informatica IICS Cloud Data Integration tools. Experience with Informatica on-premises products like PowerCenter and Data Quality.
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Data warehousing, business intelligence (BI), data governance, data architecture, data integration, data classification, data strategy, data quality management, data security, and privacy, data standards, regulatory compliance and enterprise architecture frameworks.
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Must have experience with reporting and analytics tools, such as SAS/Base programming, R, SQL, Excel, VBA, or similar; Tableau, Qlik, SAP HANA visualization tools, or similar; Big data tools and technologies (AWS or Azure); Data and data quality management; Information systems and technologies, data warehousing, and reporting systems; and managing source data and extracting data for analytical purposes.
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Candidate will be responsible for developing data architecture plans and driving the plans to fruition in collaboration with business and IT. You will play a key role in driving a number of data and analytics initiatives including: cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science.
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Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage. Five years of collective experience in the application of data engineering, data analytics, data warehousing, business intelligence, database administration and data integration concepts and methodologies.
$126,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience Requirements· Requires at least 12 years of experience in Enterprise Data & Analytics, including Data Management (Master Data management, Reference Data Management, Data Quality), Data Warehouse, and Business Intelligence disciplines· At least 7 years of experience in data warehousing platforms/tools (Data Models, ETL/ELT solutions)· At least 2 years of experience working with at least one of the public cloud platforms, Azure preferred.
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Provide oversight, scoping, technical assistance, and quality control over the development of analytics solutions using analytics / data wrangling tools (e.g. Python, R, SQL, SAS) Strong understanding of governance, controls, process and procedures, centers of competency, change management, conceptual data modeling, master data management, data standardization and stewardship, information integrity and compliance, and data quality management.
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