Job description

Azure Data Engineer job at GSSR Inc. Cincinnati, OH. Job Description Job Description Top 3Skills: Someone who is experienced in setting up databases, creatingdimensional model synapse, and tuning - this is more important than databricksexperience in the HM opinion. • *ClickStream experience would be a HUGE plus** Soft SkillsNeeded: • LeadershipExperience -must have experience managing a team •Collaborative •Relationship Building Projectperson will be supporting: Behavioral Data and analytics Team detailsie. size, dynamics, locations: part of CX (customer experience) click streamTeam is 5-6 people. This position will need to have a relationship with the PM.Need to translate what product is asking for and regurgitate- verycollaborative JobDescription: • Experiencein Data modeling and advanced SQL techniques. • Experienceworking on cloud migration methodologies and processes including tools likeDatabricks, Azure Data Factory, Azure Functions, and other Azure data services. • Expert inSQL, Python, Spark, Databricks. • Experienceworking with varied data file formats (Avro, json, csv) using PySpark foringesting and transformation. • Experiencewith DevOps process and understanding of Terraform scripting. •Understanding the benefits of data warehousing, data architecture, data qualityprocesses, data warehousing design and implementation, table structure, factand dimension tables, logical and physical database design. • Experiencedesigning and implementing ingestion processes for unstructured and structureddata sets. • Experiencedesigning and developing data cleansing routines utilizing standard dataoperations. • Knowledgeof data, master data, metadata related standards, and processes. • Experienceworking with multi-Terabyte data sets, troubleshooting issues, performancetuning of Spark and SQL queries. • Experienceusing Azure DevOps/Github actions CI/CD pipelines to deploy code. • MicrosoftAzure certifications are a plus. • Minimum of7 years of hands-on experience working on design, configuration,implementation, and data migration for medium to large sized enterprise dataplatforms. CoreTechnologies: • AzureFunctions • Python • SQL Server • Azure DataFactory • AzureDatabricks • Terraform • AzureDevOps • GitHub /GitHub Actions • T-SQL andSQL stored procedures • Azure LogAnalytics • Azure DataLake Storage • AzureSynapse KeyResponsibilities: •SQL, Python, Spark, Databricks •Working with varied data file formats (Avro, json, csv) using PySpark foringesting and transformation •DevOps process and Terraform scripting •Leadership skills: must be able to put together and deliver presentation. •Solid communication while working with PMO. Must be able to translate whatproduct is asking for and regurgitate to team.

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