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Proven work experience as a Data Analyst, Data Engineer , Database Developer, Data Architect, Business Analyst or similar role. Demonstrated multi-year experience with AWS tech stack (Glue, S3, Athena, Redshift), Salesforce, Informatica, Snowflake, Tableau and MuleSoft.
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We are looking for a bright, enthusiastic Cloud Engineer to be part of a lean team responsible for the maintenance and optimization of our AWS Data Lake infrastructure, including AWS Redshift, DMS, Glue, Storage Gateway, Transfer Family, Lambda, and S3.
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A data architect enforces/assists in enforcing adherence to GEOINT data standards and assures data assets are in line with the defined GEOINT data architecture. Typically, a data architect maintains the metadata registry, oversees data management, and optimizes databases and/or all data sources.
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Must have 2 plus years of experience in implementation of Data Coud using Snowflake, Azure Synapse, GCP GBQ or AWS Redshift. Certification in Solution architect on any hyper scalar or data cloud like Snowflake or SingleStore is desired.
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Flint Hills Resources (FHR) is looking for a Data Architect to join our Enterprise Data Enablement team. Experience with data storage technologies and query languages (Neo4j, Redshift, S3, Hadoop, etc.
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Exposure to Amazon AWS or another cloud provider- Business Intelligence tools such as Tableau, ThoughtSpot, PowerBI and/or Looker- Familiarity with data warehousing platforms and data pipeline tools such as Redshift, Snowflake, SQL Server, etc.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Design Data Lake and load the data to Data Lake using ETL and PYSPARK-Work with AWS- EC2, VPC, EBS, Athena, Aurora, RDS, DMS, EMR, S3, Redshift. -Architect, Design and develop Data Governance platform using Informatica DG products Informatica EDC AXON, -Experience configuring Informatica Data Governance using EDC and Axon, including business glossaries, dashboards, policies, search, Axon Workflows.
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Google Cloud Platform (Data Proc, BigQuery) Data storage and analysis toolsets, including modern distributed technologies such as SparkSQL, Hadoop, Presto, Hive, Kafka, Cassandra, Redshift or other equivalent solutions.
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Experience with AWS services such as Athena, Glue, DataBrew, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift, SageMaker, QuickSight, Kinesis, OpenSearch, Deep Learning AMIs, Lake Formation.
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4+ years using cloud-based warehouse/data lake (Preferably in Azure Databricks metastores/catalogs or similar stacks such as AWS Athena/Redshift, GCP Bigquery, Azure ADLS, etc) Architect and design new technical solutions based on requirements and use casesin an Azure Databricks platform.
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Strong understanding of cloud infrastructure, services and protocols like EHRs, EMRs, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, Apache airflow, SQS, SNS. Azure Data Factory, Azure DevOps, Azure Storage Data Lake, Extraction, Transformation and Loading.
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Familiarity with cloud data storage solutions such as AWS S3, Google Cloud Storage, Azure Blob Storage, AWS Redshift, Google BigQuery, Azure SQL Data Warehouse, or others. Design and architect scalable and resilient cloud-based data infrastructure solutions using leading cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.
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Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc. As a CSA, you will partner with customers throughout the customer journey to understand what drives value, beginning from the pre-sales running proof of concepts to demonstrate quick time to value, to post-sales onboarding and implementation where you set customers up for long-term success with scalable implementation and data governance best practices.
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Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc. Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects.
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SPECIALIZATIONAt Mindtree, we work on modernizing the on-premises legacy dat a warehouses to cloud based data warehouse solutions like AWS RedShift, Azure Synapse, Google BigQuery, and Snowflake.
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