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Collaborate with BIEs to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Managing AWS resources including EC2, RDS, Redshift, etc.
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Experience in cloud data engineering (S3, RDS, Redshift). Develops technical tools and programming that leverage available technologies (e.g., artificial intelligence, machine learning and big-data techniques) to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.
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Our client is looking for a strong Reporting Engineer who has solid experience across AWS. This position will specifically be supporting AWS Quick Sight and helping to standardize and enhance data integrity, data lake adoption and reporting capabilities.
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Identify and deploy techniques to improve and monitor data integrity. Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
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3+ years of experience working with databases and ETL (extract, transform, and load) technologies, preferably with AWS Redshift, AWS Glue, Python. In this role you will help to streamline reporting best practices and support activities in addition to data governance.
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AWS Redshift, AWS Glue a plus. Redshift experience is a must. Streamline processes to extract, transform and load data into the Data Lake. In addition, this role will help to navigate data and visualization needs.
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Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.
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Improve Data Lake adoption by developing and maintaining reusable data models that align with business rules. 3+ years of experience working with and creating datasets and dashboards using all relevant data to inform decisions.
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Ensure data integrity, reliability, and efficiency in data processing workflows. Demonstrable experience as a software or data engineer, demonstrating a good understanding of data architecture and engineering principles.
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AWS Reporting Engineer. 3+ years' experience with report writing in AWS Quick Sight or other reporting tools such as Tableau or Microsoft PowerBI. Meets the business scope and objectives of the enterprise by developing and implementing proactive monitoring of critical business services.
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With that said, as required by local law, Vaco believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure: [$85K - $88K.
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Experience with cloud platforms such as AWS, GCP, or Azure, and familiarity with data storage and processing services such as S3, BigQuery, or Redshift. Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes, and maintaining documentation and lineage tracking for all data flows.
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Knowledge and experience with Agile and DevOps methodologies a plus. ETL (extract, transform, and load) technologies. 6 Months contract (Possible extension/Conversion) Responsible for the design and delivery of reports and insights for performance metrics to support business units across the organization.
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Maintains technical currency by seeking, acquiring, and promptly applying new knowledge and skills, new technology, business-related information, and emerging industry practices. Strong problem solving, quantitative and analytical abilities.
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Contributes to team effort by participating in Agile Kanban teams and delivering results for assigned IT projects, enhancements, and support tasks. Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
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