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Title: Data engineer Location: Orlando, fl Compensation: 130k- 140k Base Salary Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. Job Description: We are seeking a skilled Data Engineer with expertise in Azure DevOps and strong database management skills to join our team.
$80 - $85 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) New emerging technology environments (e.g., Snowflake) Platforms & frameworks (e.g., Snowflake, Synapse.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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DataLake Architectures - snowflake, databricks (AWS google cloud exp) DataLake Architectures - Snowflake, Databricks (AWS google cloud exp) Larger initiative for a funded program called "advanced analytics" funded by the Enterprise Data Management Team to implement Azure Databricks and Enterprise Model Ops to mitigate data risk, reducing costs of AI/ML, Data Engineering, and adding opportunities to generate revenue in the Retail, C&IB and LOBs.
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Recent experience as a Senior Data Engineer in any public cloud, preferably on Azure as well as on a cloud warehouse like Snowflake or Azure Synapse is required. Azure or Snowflake training / certification is a plus.
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5+ years experience performing data warehouse architecture development and management across one or more data warehouse solutions including BigQuery, Synapse, Teradata, Vertica, or Snowflake. Remarkable experience with Amazon AWS, Google Cloud, or Microsoft Azure cloud platforms.
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Minimum 5+ years of hands-on Data Management, Big Data, Master Data governance, and analytics solution design, development, and implementation experience that include MS Synapse, Azure Data Lake, Azure Data Factory, Snowflake, SSIS, SSRS, and/or Power BI.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. 4+ years of experience with AWS, GCP, Azure, or another cloud service. Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA.
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Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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This group of engineers and architects are responsible for building and managing platforms such as Crunchr, Azure Databricks, Snowflake, and Mulesoft. Familiarity with Atlassian tools (Jira & Confluence) or Azure DevOps. Total RewardsThe referenced salary range is based on Johns Hopkins Universitys good faith belief at the time of posting.
$98,800 - $173,300 a year depends on experienceFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Conduct hands-on workflow proofs with tech partnerships (e.g. AWS, Azure, GCP, Databricks, Snowflake, ThoughtSpot, Qlik, Tableau) and document your findings. Collaborate with your Competitive Intelligence teammate on overlapping technical efforts in AWS, Azure, Databricks, GCP, and Snowflake, both to scale shared efforts by reducing workflow duplication and minimizing vendor costs.
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Amazon Web Services (Security Groups, Batch, Lambda, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis) At least 6 years of experience in software engineering (Internship experience does not apply.
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Utilize programming languages like DataBricks, SQL, Python, and RDBMS and NoSQL databases and Cloud based data warehousing services such and Snowflake. 2+ years of data warehousing experience (Redshift or Snowflake.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etcExperience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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