Data Architect (Databricks, Tableu looker Cognos SSAS cubes DataStage)) Job at Diligente Technologies, Bay County, FL

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  • Diligente Technologies
  • Bay County, FL

Job Description

Lead Data Engineer/ Data Architect:

Must have Skills: Databricks, Tableu looker cognos SSAS cubes datastage

Databricks, SQL and any other ETL tools (datastage, informatica etc) are mandatory skills.

  • 8-10 years of software development and deployment experience with at least 5 years of hands-on experience with SQL, Databricks, ADF, Datastage (or other ETL tool), SSAS cubes, Cognos, Tableau, Thoughtspot and other BI tools
  • Write SQL for processing raw data, kafka ingestions, adf pipelines, data validation and QA
  • Knowledge working with APIs to collect or ingest data
  • Experience with Scala and Python
  • Strong Database knowledge, SQL & No-SQL preferred

  • Experience building data ingestion pipelines (simulating Extract, Transform, Load workload), data warehouse or database architecture
  • Experience writing design documentation, Source to Target mapping documentation, manage confluence pages.
  • Experience in converting business functionalities into technical jira stories
  • Experience in analyzing huge datasets, identify trends, patterns, and outliers to extract meaningful insights
  • Strong experience with data modeling, design patterns, building highly scalable Business Intelligence Solutions and distributed applications
  • Knowledge of cloud platforms, for example:
  • Experience with Azure, AWS or equivalent cloud platforms
  • Experience with storing, joining, filtering, and analyzing data using SQL, Spark, Hive etc.
  • Experience working with continuous integration framework, building regression-able code within data world using GitHub, Jenkins and related applications
  • Experience with programming/scripting languages such as Scala/Java/Python/R etc. (any combination)
  • Analytical approach to problem-solving with an ability to work at an abstract level and gain consensus; excellent interpersonal, leadership and communication
  • Data-oriented personality. Motivated, independent, efficient and able to handle several projects; work under pressure with a solid sense for setting priorities

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