
Making buildings smarter.
Data Engineer II
What you will do?
Join us in the Procurement Execution Center (PEC) as a Data Engineer as part of a is a diverse team of data and procurement individuals. In this role, you will be responsible for deploying supporting the E2E management of our data, including: ETL/ELT, DW/DL, data staging, data governance, and manage the different layers of data required to ensure a successful BI & Reporting for the PEC. This role will work with multiple types of data, spreading across multiple functional areas of expertise, including Logistics, MRO & Energy, Travel, Professional Services, among others.
How you will do it?
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Deploy data ingestion processes through Azure Data Factory to load data models as required into Azure Synapse.
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Build and design ETL/ELT processes with Azure Data Factory (ADF) and/or Python, which once deployed, will require to be executed daily and weekly.
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Assemble large, complex data sets that meet functional / non-functional business requirements.
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Build the infrastructure required for optimal ETL/ELT of data from a wide variety of data sources using Azure SQL and ADF.
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Develop data models that enable Data Viz, Reporting and Advanced Data Analytics, striving for optimal performance across all data models.
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Maintain conceptual, logical, and physical data models along with corresponding metadata.
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Manages the DevOps pipeline deployment model, including automated testing procedures
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Deploys data stewardship and data governance across our data warehouse, to cleanse and enhance our data, using knowledge bases and business rules.
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Performs the necessary data ingestion, cleansing, transformation, and coding of business rules to support annual Procurement bidding activities.
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Support the deployment of a global data standard for Logistics.
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Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
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Support Rate Repository management as required (including Rate Card uploads to our DW).
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Other Procurement duties as assigned.
What are we looking for?
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Bachelor’s degree in related field (Engineering, Computer Science, Data Science or similar)
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3+ years of relevant experience in BI Engineering, data modeling, data engineering, software engineering or other relevant roles. Strong SQL knowledge and experience working with relational databases.
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Knowledge in DW/DL concepts, data marts, data modeling, ETL/ELT, data quality/stewardship, distributed systems and metadata management.
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Experience building and optimizing data pipelines, architectures, and data sets.
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Azure Data Engineering certification preferred (DP-203)
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ETL/ELT development experience (3+ years). SSIS or ADF are preferred.
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Ability to resolve ETL/ELT problems by proposing and implementing tactical/Strategic solutions.
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Strong project management and Organizational skills.
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Experience with object-oriented function scripting languages: Python, Scala, C#, etc.
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Experience with NoSQL databases is a plus to support the transition from On-Prem to Cloud.
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Excellent problem solving, critical thinking, and communication skills
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Relevant experience with Azure DevOps (CI/CD, git/repo management) is a plus
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Due to the global nature of the role, proficiency in English language is a must
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Johnson Controlsについて

Johnson Controls
Series BJohnson Controls International plc is an American-Irish multinational conglomerate headquartered in Cork, Ireland, that produces fire, HVAC, and security equipment for buildings. As of mid-2019, it employed 105,000 people in around 2,000 locations across six continents.
10,001+
従業員数
Cork
本社所在地
レビュー
10件のレビュー
4.0
10件のレビュー
ワークライフバランス
3.2
報酬
3.8
企業文化
4.1
キャリア
3.4
経営陣
3.1
72%
知人へ の推奨率
良い点
Good benefits and compensation
Supportive team culture and friendly coworkers
Flexible work arrangements and remote options
改善点
Heavy workload and high-pressure environment
Limited career advancement opportunities
Management responsiveness issues
給与レンジ
195件のデータ
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Data Analyst
0件のレポート
$136,240
年収総額
基本給
-
ストック
-
ボーナス
-
$115,804
$156,676
面接レビュー
レビュー2件
難易度
2.5
/ 5
期間
14-28週間
内定率
50%
体験
ポジティブ 50%
普通 50%
ネガティブ 0%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Offer
よくある質問
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
Culture Fit
最新情報
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