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4 Required Proven experience in data conversion and report building using Snowflake and SAS Viya. 4 Required Demonstrated experience in data transformation processes using ETL, SQL, Python, and R. 4 Required Experience working with data analytics and business intelligence tools.
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O Strong experience with GCP o Experience with Big Query, Looker Studio o Experience with NoSQL databases (e.g., DynamoDB, Cassandra) and SQL databases (e.g., PostgreSQL, MySQL). o Strong SQL expertise for querying large datasets o Knowledge of API integration for extracting data from multiple sources (internal and external systems such as Amazon's API for FBA, sales data, etc.
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Experience using SQL (Redshift, Databricks) and ETL (dbt) tools to transform big data sets (billions of rows) into digestible insights/metrics across technical (Looker) and non-technical tools.
$210,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of cloud / big data software stack model and knowledge of provisioning / deployment of open standard software stacks. Experience with scripting/automation languages: BASH, SQL, Expect, Python, Ruby.
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Skilled in multiple programming languages and statistical analyses/ machine learning tools (Python, R, SAS, SQL, Pyspark) and extensive experience in Big Data platforms (AWS, S3, Azure/Databricks.
$264,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Key Responsibilities:Works in project teams as subject matter expert to design and development of program methods, processes and systems to consolidate and analyze structured and unstructured, diverse big data sourcesPerforms complicated statistical and data -mining analysis, using statistical tools like R, SAS and MATlab input and design of data acquisition systems, data structure and database design.
$198,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency with data analytics tools such as SQL, Power BI, Tableau. Familiarity with big data technologies (e.g., Hadoop, Spark). 5+ years of experience in product management, data analytics or business intelligence.
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Have experience with both proprietary and open-source big data technologies and platforms (Snowflake, Vertica, Hive, Spark, Presto, Airflow). An expert developer using SQL and SQL-like query languages on Snowflake, Databricks and AWS Data capabilities.
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Keywords:Phoenix AZ Jobs, Senior Data Engineer, Snowflake, Databricks, Redshift, Airflow, DBT, Looker, Tableau, Sigma, SQL, Python, Scala, Business Intelligence, BI, Data Science, Quantitative, Terraform, K8s, Arizona Recruiters, Information Technology Jobs, IT Jobs, Arizona Recruiting.
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Proficiency with SQL or other programming languages (Python) and a strong interest in Big Data Mining and Process Mining. 4 to 7 years with experience as Process Analyst SME in any domain with at least 2-3 years of experience working on Celonis Customer project-based experience working as Analyst or Data Engineer on Celonis implementations Celonis Analyst/ Data Engineer.
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Experience working in Data Architecture, engineering, and ETL teams, managing the Design, Implementation of projects that utilize big data, advanced analytics, and machine learning technologies.
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Analyze and mine very large quantities of data to find patterns and insights using multiple Analytical Stacks like R, Python, Spark, SAS, SQL etc. Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Experience with Big Data technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
$214,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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The position will allow the candidate to work collaboratively across the Company's cross-functional teams (Data Research & Reporting, Trading & Analytics, Asset Management, Capital Markets, Transaction Management, and Collateral Management) and to learn from the firm's industry leading professionals.
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Background in working with Azure Cloud Services: Data Factory, SQL database, Functions, Data Lake, Databricks, Logic Apps, and Azure Automation. Experience with other Big Data tools such as Spark, Snowflake, and Kafka.
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