Azure Data Platform Developer

Posted on May 17, 2019 by Neem Consulting

Warren, NJ 07059
Information Technology
Immediate Start
Daily Salary
  • Min of 6 to 8 year of overall IT experience
  • Working knowledge of Data Warehousing concepts and design (incl. ETL, Datamodelling & visualization)
  • Should have executed at least one end to end azure data lake project (preferably with 1 to 2 years of exp in Azure data platform)
  • Working knowledge of Azure DevOps/VSTS/GitHub, CLI, Storage Explorer and SSMS (SQL server management studio)
  • Good communication and interpersonal skills
  • Work independently with different stakeholder & 3rd party teams to ensure project objectives and goals are met
  • Experience in planning, estimating and delivering projects in Agile Scrum Model

You will be expected to know below Azure Components (ADF V2, ADLS, SQL DB & SQL DWH) to a proficient level

  • Azure Data FactoryV2 - datasets & linked services, pipeline development, execution & triggers and integration runtimes.
  • Azure Storage Services (Blob & ADLS Gen1/Gen2)- creation use of azure storage, access policies and associated keys, encryption techniques for sharing etc.
  • SQLDW and SQL DB - Write, modify, tune and debug queries, stored procedures, views, indexes, user-defined functions, and other database entities. Creation of external tables using polybase.
  • Azure Key Vault, Service Principle, Power Shell etc.

You will be expected to perform below activities

  • Design, implement, and maintain data solutions from data collection and curation.
  • Model and develop databases and data structures to satisfy business processes and technical requirements.
  • Identify complex data patterns and inconsistencies through data analysis
  • Design and Implementation of security principles and access management through AD group roles

In addition to the above, knowledge and skills are preferable in ADLA (U-SQL, C#) and Databricks (Spark SQL, SCALA/Python, Spark Architecture etc.)

  • Design, develop and implement U-SQL based activities/jobs using Azure Data Lake Analytics
  • Setting up Databricks Cluster and automation of on demand clusters, Scaling Databricks workflows, Integration of ADF data pipelines with ADB
  • Knowledge of Performance tuning to define Azure code artefacts for optimal performance

Reference: 707533624

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