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Ownership of data quality in our datasets and data pipelines. Experience with SQL, Python, Data Warehousing, DBT, Airflow and Kafka. You have experience with Data Warehousing, Airflow, AWS, Kafka and dbt.
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Banking industry, Insurance industry, Data Warehousing, Data modeling, Data mastering, Data quality, Informatica, Alteryx, MSSQL, Oracle, Teradata, Hadoop, Snowflake, MSSQL, SSIS, SSRS, Python, R, Scala, SPARK a další programovací jazyky, reporting.
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Experience in handling data - data lineage, data governance, ensuring data quality, feature stores etc. You will use programming languages such as Python, R, or SQL to automate the ETL, analytics, and data quality processes from the ground up.
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Bachelor's or Master's degree in Computer Science or related field, at least 5 years of experience in data architecture, strong knowledge of AWS, Data Vault, Snowflake, Airflow, expertise in data modeling and quality assessment, proficiency in Git and CI/CD methodologies.
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Ensure data provenance, quality and lineage can be supported and maintained from development work considering supportability. You will collaborate with Data Architects and Insight Analysts when implementing data pipelines across supporting data layers and models, and ensure orchestration of data pipelines support data provenance, quality and lineage to assure supportability.
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You will ensure your pipelines and code adhere to engineering best practices by incorporating data quality, accuracy and security principles. Data visualization skills using business intelligence solutions including at least one of Looker, Tableau, Periscope, Pentaho, or Microstrategy.
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Elevate Data Quality: Innovate and enhance data quality and architecture within your scope. Data Warehouse Skills: Proficient in Cloud Data Warehouse systems such as Redshift, Snowflake, or BigQuery.
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Responsible for the execution and quality of the tools, services, datasets delivered by the Data Engineering team. Experience in big data technologies(Apache Hadoop/Spark/Hive/Presto.
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Practical & recent experience in data pipeline development with Big Data frameworks (Databricks, Spark, Kafka), data modelling approaches (Star schema, Snowflake, Data Vault), and Azure Services (Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
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Lead the development and enforcement of comprehensive data governance policies, focusing on data quality, lineage, and metadata management, to maintain the integrity and reliability of our data assets.
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At least 2 years of experience in a data engineering, data science, or analyst role at a high-growth or early stage startup — or equivalent open-source/personal project work. Familiarity with modern data tools such as BigQuery, Snowflake, Metabase, dbt or their equivalents.
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3-5 years of experience in data governance, data quality, data preparation, data classification, PII, PHI, FDA, GDPR. The position is a critical resource on the Global Information Systems (GIS) Information Governance and Quality team for project implementation and ongoing support of Illumina’s data classification and categorization processes.
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You’ll be an integral part of the organisation and expected todesign andsetting up well-functioning fully automated data platforms and data pipelines, as well as contributing to ways of working and product strategy.
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Maintain the data platform, monitoring its performance and reporting on team metrics to ensure data availability and quality. This team plays a pivotal role in managing all facets of data ingestion, storage, and transformation, leveraging modern tools and environments like Databricks, DBT, Airflow, Kubernetes, AWS, ThoughtSpot and Terraform.
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Expert knowledge of data engineering and data quality. I can help with all data-related topics like design, optimization, quality, or performance issues - especially when using Microsoft technologies.
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data quality jobs Title: quality data analyst Company: Pg E Corporation in Snowflake, AZ
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