Role overview

Senior Databricks Data Engineer- CT

Requirements and responsibilities

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Requirements

  • . Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Microsoft, Azure, AWS, GCP, technologies etc. . Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Work with data and analytics experts to strive for greater functionality in our data systems. Assists support desk where applicable Who We Need – Data Engineer Who do you need to be: Minimum 3 years working experience in data engineering. +27 (0)11 025 2300 [email protected] Ground Floor, Building 1, Waterfall Corporate Campus, Waterfall Drive, Waterfall City Postnet Suite 150, Private Bag X81, Halfway House , 1685 Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing data pipelines, architectures, and data structures. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large, disconnected datasets. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. Qualifications Bachelor's degree in Computer Science, Information Systems, Information Technology, or related field. Master's degree in a relevant field is advantageous. Microsoft Qualifications Microsoft Certified Solutions Associate: Data & Analytics (Advantageous) SQL Server 2016 or later o SQL Database Development o SQL Database Administration o SQL BI Development BI Reporting (PowerBI, QlikSense, Tableau. Microsoft Certified Solutions Expert (Advantageous) Data Management & Analytics Microsoft Azure Certifications (Advantageous) Originally posted on Himalayas
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FocusData EngineeringRole area
Seniority signalSeniorCandidate level
StackAWS, Azure, GCPPrimary skills
Location1 accepted countryEligibility

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