Data Engineer
Role : Data Engineer
Skills : Data Engineer, Azure, SQL, SSIS, DataStage, Data Analyst
Location : Seattle, WA
Job type : Full Time
Job Description : Must have skills :
Must have skills :
Data Analysis : Proficiency in analyzing large datasets, identifying patterns, and extracting meaningful insights using tools like SQL, Excel, or other data analysis software.
Data Visualization : Ability to create visually appealing and informative dashboards, reports, and charts using data visualization tools such as Tableau.
Database Management : Knowledge of database concepts, including data modeling, data warehousing, and SQL querying to extract and manipulate data from relational databases.
ETL (Extract, Transform, Load) : Understanding of ETL processes to extract data from various sources, transform it into a suitable format, and load it into a data warehouse or reporting system.
Business Intelligence Tools : Familiarity with business intelligence tools like Cognos to develop and maintain reports, queries, and data cubes.
Data Mining : Knowledge of data mining techniques to discover patterns, correlations, and trends in large datasets.
Data Quality Assurance : Understanding of data quality concepts and experience in data cleansing, data profiling, and data validation to ensure accuracy and reliability of data.
Data Governance : Familiarity with data governance principles and practices to ensure data integrity, security, and compliance with regulations.
Programming Skills : Basic programming skills in languages like Python can be beneficial for automating tasks, building data pipelines, or developing custom analytics solutions.
Roles and Responsibilities :
- Lead the design of information models, dashboards, metrics and reports utilizing standard. technologies and methodologies that meet business objectives.
- Update the dashboard content to accurately reflect the source data.
- Transfer data from sources such as Clarity / ITG, ADO, Gitlab, Excel files hosting relevant source data. Incorporate Boeing-identified KPIs into dashboards to convey key business intelligence views.
Experience in data visualization, data cleaning, data manipulation (extract, transform, load), and tool usage of Talend, SSIS, DataStage, Oracle Data Integrator
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Databases - MS SQL / Oracle / Teradata / NoSQL DB
- Strong analytical skills and ability to interpret complex data Familiarity with the Azure Cloud ecosystem
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